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Machine Learning

Authors and titles for recent submissions

[ total of 931 entries: 1-656 | 657-931 ]
[ showing 656 entries per page: fewer | more | all ]

Fri, 24 May 2024

[1]  arXiv:2405.14861 [pdf, ps, other]
Title: Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models
Authors: Gen Li, Yuling Yan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Statistics Theory (math.ST); Machine Learning (stat.ML)
[2]  arXiv:2405.14860 [pdf, other]
Title: Not All Language Model Features Are Linear
Authors: Joshua Engels, Isaac Liao, Eric J. Michaud, Wes Gurnee, Max Tegmark
Comments: Code and data at this https URL
Subjects: Machine Learning (cs.LG)
[3]  arXiv:2405.14853 [pdf, other]
Title: Privileged Sensing Scaffolds Reinforcement Learning
Authors: Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
Comments: ICLR 2024 Spotlight version
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO)
[4]  arXiv:2405.14852 [pdf, other]
Title: PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
Authors: Vladimir Malinovskii, Denis Mazur, Ivan Ilin, Denis Kuznedelev, Konstantin Burlachenko, Kai Yi, Dan Alistarh, Peter Richtarik
Comments: Preprint
Subjects: Machine Learning (cs.LG)
[5]  arXiv:2405.14837 [pdf, other]
Title: Analysis of Atom-level pretraining with QM data for Graph Neural Networks Molecular property models
Authors: Jose Arjona-Medina, Ramil Nugmanov
Comments: 6 pages + 10 Supplement Materials
Subjects: Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Quantum Physics (quant-ph)
[6]  arXiv:2405.14813 [pdf, other]
Title: Scalable Optimization in the Modular Norm
Authors: Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein
Subjects: Machine Learning (cs.LG)
[7]  arXiv:2405.14791 [pdf, other]
Title: Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Authors: Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane
Comments: Accepted at the 41st International Conference on Machine Learning (ICML 2024)
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Distributed, Parallel, and Cluster Computing (cs.DC)
[8]  arXiv:2405.14790 [pdf, other]
Title: DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
Authors: Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang
Comments: ICML2024
Subjects: Machine Learning (cs.LG)
[9]  arXiv:2405.14780 [pdf, other]
Title: Metric Flow Matching for Smooth Interpolations on the Data Manifold
Authors: Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[10]  arXiv:2405.14769 [pdf, other]
Title: Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
Authors: Andi Peng, Yuying Sun, Tianmin Shu, David Abel
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[11]  arXiv:2405.14762 [pdf, other]
Title: Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
Authors: Nicholas Gao, Stephan Günnemann
Subjects: Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph); Quantum Physics (quant-ph)
[12]  arXiv:2405.14759 [pdf, ps, other]
Title: Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
Authors: Tehila Dahan, Kfir Y. Levy
Subjects: Machine Learning (cs.LG)
[13]  arXiv:2405.14755 [pdf, other]
Title: Large language models can be zero-shot anomaly detectors for time series?
Authors: Sarah Alnegheimish, Linh Nguyen, Laure Berti-Equille, Kalyan Veeramachaneni
Subjects: Machine Learning (cs.LG)
[14]  arXiv:2405.14751 [pdf, other]
Title: AGILE: A Novel Framework of LLM Agents
Authors: Peiyuan Feng, Yichen He, Guanhua Huang, Yuan Lin, Hanchong Zhang, Yuchen Zhang, Hang Li
Subjects: Machine Learning (cs.LG)
[15]  arXiv:2405.14749 [pdf, other]
Title: Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Authors: Minheng Xiao, Xian Yu, Lei Ying
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC)
[16]  arXiv:2405.14748 [pdf, other]
Title: MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
Authors: Georgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios Skoutas
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[17]  arXiv:2405.14745 [pdf, other]
Title: AnyLoss: Transforming Classification Metrics into Loss Functions
Authors: Doheon Han, Nuno Moniz, Nitesh V Chawla
Subjects: Machine Learning (cs.LG)
[18]  arXiv:2405.14743 [pdf, other]
Title: Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy
Authors: Kaihua Ding, Jingsong Cui, Mohammad Soltani, Jing Jin
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[19]  arXiv:2405.14742 [pdf, other]
Title: HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
Authors: Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[20]  arXiv:2405.14725 [pdf, other]
Title: A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
Authors: Karima Makhlouf, Tamara Stefanovic, Heber H. Arcolezi, Catuscia Palamidessi
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)
[21]  arXiv:2405.14714 [pdf, other]
Title: Defining error accumulation in ML atmospheric simulators
Authors: Raghul Parthipan, Mohit Anand, Hannah M. Christensen, J. Scott Hosking, Damon J. Wischik
Comments: Submitted to NeurIPS 2024. 27 pages (including appendices)
Subjects: Machine Learning (cs.LG)
[22]  arXiv:2405.14689 [pdf, other]
Title: Cascade of phase transitions in the training of Energy-based models
Authors: Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane
Comments: 19 pages, 6 figures
Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech)
[23]  arXiv:2405.14681 [pdf, other]
Title: Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
Authors: Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[24]  arXiv:2405.14670 [pdf, other]
Title: Overcoming the Challenges of Batch Normalization in Federated Learning
Authors: Rachid Guerraoui, Rafael Pinot, Geovani Rizk, John Stephan, François Taiani
Subjects: Machine Learning (cs.LG)
[25]  arXiv:2405.14669 [pdf, other]
Title: Efficiency for Free: Ideal Data Are Transportable Representations
Authors: Peng Sun, Yi Jiang, Tao Lin
Comments: Code: this https URL
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[26]  arXiv:2405.14664 [pdf, other]
Title: Fisher Flow Matching for Generative Modeling over Discrete Data
Authors: Oscar Davis, Samuel Kessler, Mircea Petrache, {İ}smail {İ}lkan Ceylan, Avishek Joey Bose
Comments: Preprint, Under Review
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[27]  arXiv:2405.14660 [pdf, other]
Title: Implicit In-context Learning
Authors: Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
[28]  arXiv:2405.14657 [pdf, other]
Title: Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions
Authors: Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg, Samuel Kaski
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[29]  arXiv:2405.14655 [pdf, other]
Title: Multi-turn Reinforcement Learning from Preference Human Feedback
Authors: Lior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos
Subjects: Machine Learning (cs.LG)
[30]  arXiv:2405.14650 [pdf, other]
Title: PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Authors: Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa
Subjects: Machine Learning (cs.LG)
[31]  arXiv:2405.14645 [pdf, other]
Title: Lagrangian Neural Networks for Reversible Dissipative Evolution
Authors: Veera Sundararaghavan, Megna N. Shah, Jeff P. Simmons
Subjects: Machine Learning (cs.LG); Materials Science (cond-mat.mtrl-sci)
[32]  arXiv:2405.14632 [pdf, other]
Title: Reinforcement Learning for Fine-tuning Text-to-speech Diffusion Models
Authors: Jingyi Chen, Ju-Seung Byun, Micha Elsner, Andrew Perrault
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[33]  arXiv:2405.14629 [pdf, other]
Title: Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
Authors: Takuya Hiraoka, Guanquan Wang, Takashi Onishi, Yoshimasa Tsuruoka
Comments: Source code: this https URL
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[34]  arXiv:2405.14623 [pdf, other]
Title: U-TELL: Unsupervised Task Expert Lifelong Learning
Authors: Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
Subjects: Machine Learning (cs.LG)
[35]  arXiv:2405.14622 [pdf, other]
Title: Calibrated Self-Rewarding Vision Language Models
Authors: Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen, Chenhang Cui, Xiyao Wang, Yun Li, Linjun Zhang, Huaxiu Yao
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
[36]  arXiv:2405.14620 [pdf, other]
Title: Closed-form Symbolic Solutions: A New Perspective on Solving Partial Differential Equations
Authors: Shu Wei, Yanjie Li, Lina Yu, Min Wu, Weijun Li, Meilan Hao, Wenqiang Li, Jingyi Liu, Yusong Deng
Subjects: Machine Learning (cs.LG)
[37]  arXiv:2405.14616 [pdf, other]
Title: TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
Authors: Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[38]  arXiv:2405.14608 [pdf, other]
Title: ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
Authors: Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
Comments: Accepted at KDD 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[39]  arXiv:2405.14602 [pdf, other]
Title: Controllable Continual Test-Time Adaptation
Authors: Ziqi Shi, Fan Lyu, Ye Liu, Fanhua Shang, Fuyuan Hu, Wei Feng, Zhang Zhang, Liang Wang
Subjects: Machine Learning (cs.LG)
[40]  arXiv:2405.14597 [pdf, other]
Title: Integer Scale: A Free Lunch for Faster Fine-grained Quantization of LLMs
Authors: Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Yifan Lu, Yerui Sun, Lin Ma, Yuchen Xie
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[41]  arXiv:2405.14596 [pdf, other]
Title: Linear Mode Connectivity in Differentiable Tree Ensembles
Authors: Ryuichi Kanoh, Mahito Sugiyama
Subjects: Machine Learning (cs.LG)
[42]  arXiv:2405.14578 [pdf, other]
Title: Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling
Authors: Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang
Subjects: Machine Learning (cs.LG)
[43]  arXiv:2405.14567 [pdf, other]
Title: EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records
Authors: Adibvafa Fallahpour, Mahshid Alinoori, Arash Afkanpour, Amrit Krishnan
Comments: 17 Pages, 4 Figures
Subjects: Machine Learning (cs.LG)
[44]  arXiv:2405.14558 [pdf, other]
Title: FUSE: Fast Unified Simulation and Estimation for PDEs
Authors: Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
Subjects: Machine Learning (cs.LG)
[45]  arXiv:2405.14547 [pdf, other]
Title: Causal Effect Identification in a Sub-Population with Latent Variables
Authors: Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser
Comments: 19 pages, 5 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[46]  arXiv:2405.14544 [pdf, other]
Title: Nuclear Norm Regularization for Deep Learning
Authors: Christopher Scarvelis, Justin Solomon
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[47]  arXiv:2405.14527 [pdf, other]
Title: ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution
Authors: Guillaume Couairon, Christian Lessig, Anastase Charantonis, Claire Monteleoni
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[48]  arXiv:2405.14522 [pdf, other]
Title: Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
Authors: Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)
[49]  arXiv:2405.14521 [pdf, other]
Title: Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure
Authors: Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[50]  arXiv:2405.14519 [pdf, ps, other]
Title: A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection
Authors: Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
Subjects: Machine Learning (cs.LG)
[51]  arXiv:2405.14517 [pdf, other]
Title: Identity Inference from CLIP Models using Only Textual Data
Authors: Songze Li, Ruoxi Cheng, Xiaojun Jia
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)
[52]  arXiv:2405.14496 [pdf, other]
Title: Hybrid Global Causal Discovery with Local Search
Authors: Sujai Hiremath, Jacqueline R.M.A. Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan
Subjects: Machine Learning (cs.LG)
[53]  arXiv:2405.14477 [pdf, other]
Title: LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Authors: Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[54]  arXiv:2405.14473 [pdf, other]
Title: Poisson Variational Autoencoder
Authors: Hadi Vafaii, Dekel Galor, Jacob L. Yates
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neurons and Cognition (q-bio.NC)
[55]  arXiv:2405.14469 [pdf, ps, other]
Title: Generalization of Hamiltonian algorithms
Authors: Andreas Maurer
Subjects: Machine Learning (cs.LG)
[56]  arXiv:2405.14468 [pdf, other]
Title: Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
Authors: Peter Súkeník, Marco Mondelli, Christoph Lampert
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[57]  arXiv:2405.14457 [pdf, other]
Title: Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
Authors: Tudor Cebere, Aurélien Bellet, Nicolas Papernot
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)
[58]  arXiv:2405.14449 [pdf, other]
Title: Adversarial Schrödinger Bridge Matching
Authors: Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
Subjects: Machine Learning (cs.LG)
[59]  arXiv:2405.14446 [pdf, other]
Title: Worldwide Federated Training of Language Models
Authors: Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, Nicholas Donald Lane
Comments: 19 pages, 8 figures, Under Review
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Distributed, Parallel, and Cluster Computing (cs.DC)
[60]  arXiv:2405.14440 [pdf, other]
Title: Bayesian Adaptive Calibration and Optimal Design
Authors: Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin Bonilla
Comments: Preprint, currently under review
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[61]  arXiv:2405.14438 [pdf, other]
Title: LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
Authors: Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu
Comments: under review
Subjects: Machine Learning (cs.LG)
[62]  arXiv:2405.14432 [pdf, other]
Title: Boosting Robustness by Clipping Gradients in Distributed Learning
Authors: Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan
Subjects: Machine Learning (cs.LG)
[63]  arXiv:2405.14425 [pdf, other]
Title: When predict can also explain: few-shot prediction to select better neural latents
Authors: Kabir Dabholkar, Omri Barak
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[64]  arXiv:2405.14422 [pdf, other]
Title: Unraveling overoptimism and publication bias in ML-driven science
Authors: Pouria Saidi, Gautam Dasarathy, Visar Berisha
Comments: 31 pages, 7 figures, 6 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
[65]  arXiv:2405.14407 [pdf, other]
Title: Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks
Authors: He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan
Subjects: Machine Learning (cs.LG)
[66]  arXiv:2405.14402 [pdf, other]
Title: Exact Gauss-Newton Optimization for Training Deep Neural Networks
Authors: Mikalai Korbit, Adeyemi D. Adeoye, Alberto Bemporad, Mario Zanon
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[67]  arXiv:2405.14399 [pdf, other]
Title: Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks
Authors: Shangshang Yang, Linrui Qin, Xiaoshan Yu
Comments: Leverage Kolmogorov-Arnold Networks (KANs) for cognitive diagnosis, enhancing the model interpretability. The diagnosis performance is also improved
Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY)
[68]  arXiv:2405.14384 [pdf, other]
Title: Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
Authors: Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
Comments: Accepted at IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW) 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[69]  arXiv:2405.14377 [pdf, other]
Title: CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
Authors: Zi Yang, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[70]  arXiv:2405.14372 [pdf, ps, other]
Title: Learning Constrained Markov Decision Processes With Non-stationary Rewards and Constraints
Authors: Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Subjects: Machine Learning (cs.LG)
[71]  arXiv:2405.14369 [pdf, other]
Title: RoPINN: Region Optimized Physics-Informed Neural Networks
Authors: Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
Subjects: Machine Learning (cs.LG)
[72]  arXiv:2405.14355 [pdf, other]
Title: Retrieval-Augmented Mining of Temporal Logic Specifications from Data
Authors: Gaia Saveri, Luca Bortolussi
Subjects: Machine Learning (cs.LG)
[73]  arXiv:2405.14352 [pdf, other]
Title: Explaining Graph Neural Networks via Structure-aware Interaction Index
Authors: Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying
Comments: 30 pages, ICML'24
Subjects: Machine Learning (cs.LG)
[74]  arXiv:2405.14313 [pdf, other]
Title: Smooth Pseudo-Labeling
Authors: Nikolaos Karaliolios, Hervé Le Borgne, Florian Chabot
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[75]  arXiv:2405.14307 [pdf, other]
Title: AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
Authors: Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang
Comments: Accepted by KDD 2024
Journal-ref: KDD 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[76]  arXiv:2405.14303 [pdf, other]
Title: Similarity-Navigated Conformal Prediction for Graph Neural Networks
Authors: Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang
Subjects: Machine Learning (cs.LG)
[77]  arXiv:2405.14297 [pdf, other]
Title: Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Authors: Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Tao Lin
Comments: 9 pages, 21 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[78]  arXiv:2405.14291 [pdf, other]
Title: Variational Bayes for Federated Continual Learning
Authors: Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)
[79]  arXiv:2405.14286 [pdf, other]
Title: Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification
Authors: Yijia Zheng, Marcel Worring
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[80]  arXiv:2405.14273 [pdf, other]
Title: A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP
Authors: Akira Kitaoka
Comments: 22 pages; comments are welcome
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC)
[81]  arXiv:2405.14270 [pdf, other]
Title: Sparse $L^1$-Autoencoders for Scientific Data Compression
Authors: Matthias Chung, Rick Archibald, Paul Atzberger, Jack Michael Solomon
Comments: 11 pages, 6 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Numerical Analysis (math.NA)
[82]  arXiv:2405.14267 [pdf, other]
Title: A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings
Authors: Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen White, Flora D. Salim
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[83]  arXiv:2405.14264 [pdf, other]
Title: Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective
Authors: Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
[84]  arXiv:2405.14260 [pdf, other]
Title: Graph Sparsification via Mixture of Graphs
Authors: Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[85]  arXiv:2405.14257 [pdf, other]
Title: Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations
Authors: Zhixiong Jin, Dimitrios Tsitsokas, Nikolas Geroliminis, Ludovic Leclercq
Subjects: Machine Learning (cs.LG)
[86]  arXiv:2405.14256 [pdf, other]
Title: ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
Authors: Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang
Comments: 15 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[87]  arXiv:2405.14253 [pdf, other]
Title: Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
Authors: Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
Subjects: Machine Learning (cs.LG); Computational Physics (physics.comp-ph)
[88]  arXiv:2405.14252 [pdf, other]
Title: Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
Authors: Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
Subjects: Machine Learning (cs.LG)
[89]  arXiv:2405.14250 [pdf, other]
Title: Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Authors: Emile Pierret, Bruno Galerne
Subjects: Machine Learning (cs.LG); Image and Video Processing (eess.IV); Probability (math.PR)
[90]  arXiv:2405.14246 [pdf, other]
Title: GCondenser: Benchmarking Graph Condensation
Authors: Yilun Liu, Ruihong Qiu, Zi Huang
Comments: GCondenser is open-sourced and available at this https URL
Subjects: Machine Learning (cs.LG)
[91]  arXiv:2405.14239 [pdf, other]
Title: Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Authors: Mohammed Baharoon, Jonathan Klein, Dominik L. Michels
Comments: 20 pages, 2 figures
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[92]  arXiv:2405.14232 [pdf, ps, other]
Title: FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation
Authors: Chia-Fu Liu, Lipai Huang, Kai Yin, Sam Brody, Ali Mostafavi
Comments: 20 pages, 6 figures
Subjects: Machine Learning (cs.LG)
[93]  arXiv:2405.14226 [pdf, other]
Title: Variational Delayed Policy Optimization
Authors: Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[94]  arXiv:2405.14222 [pdf, other]
Title: RAQ-VAE: Rate-Adaptive Vector-Quantized Variational Autoencoder
Authors: Jiwan Seo, Joonhyuk Kang
Comments: Under review
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)
[95]  arXiv:2405.14219 [pdf, other]
Title: Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making
Authors: Hanzhao Wang, Yu Pan, Fupeng Sun, Shang Liu, Kalyan Talluri, Guanting Chen, Xiaocheng Li
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[96]  arXiv:2405.14214 [pdf, other]
Title: A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
Authors: Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
Comments: Accepted by IJCAI 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[97]  arXiv:2405.14203 [pdf, other]
Title: GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
Authors: Thao Nguyen, Tiara Torres-Flores, Changhyun Hwang, Carl Edwards, Ying Diao, Heng Ji
Comments: In progress
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Chemical Physics (physics.chem-ph)
[98]  arXiv:2405.14186 [pdf, ps, other]
Title: Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift
Authors: Nicolas Acevedo, Carmen Cortez, Chris Brooks, Rene Kizilcec, Renzhe Yu
Comments: Learning Engineering Virtual Institute
Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY)
[99]  arXiv:2405.14185 [pdf, other]
Title: A structure-aware framework for learning device placements on computation graphs
Authors: Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
Subjects: Machine Learning (cs.LG); Performance (cs.PF)
[100]  arXiv:2405.14183 [pdf, other]
Title: Deterministic Policies for Constrained Reinforcement Learning in Polynomial-Time
Authors: Jeremy McMahan
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS)
[101]  arXiv:2405.14176 [pdf, other]
Title: Certified Robustness against Sparse Adversarial Perturbations via Data Localization
Authors: Ambar Pal, René Vidal, Jeremias Sulam
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[102]  arXiv:2405.14153 [pdf, other]
Title: A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data
Authors: Feng Gu, Jie Lu, Zhen Fang, Kun Wang, Guangquan Zhang
Subjects: Machine Learning (cs.LG)
[103]  arXiv:2405.14147 [pdf, other]
Title: Minimum number of neurons in fully connected layers of a given neural network (the first approximation)
Authors: Oleg I.Berngardt
Comments: 21 pages, 2 figures, 1 table
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
[104]  arXiv:2405.14135 [pdf, other]
Title: Learning Geospatial Region Embedding with Heterogeneous Graph
Authors: Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Yuxuan Liang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[105]  arXiv:2405.14133 [pdf, other]
Title: Automated Loss function Search for Class-imbalanced Node Classification
Authors: Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing Liu
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Symbolic Computation (cs.SC)
[106]  arXiv:2405.14132 [pdf, other]
Title: Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Authors: Zexi Li, Lingzhi Gao, Chao Wu
Comments: Preprint
Subjects: Machine Learning (cs.LG)
[107]  arXiv:2405.14126 [pdf, other]
Title: The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks
Authors: Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim
Comments: 14 pages, 7 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
[108]  arXiv:2405.14124 [pdf, ps, other]
Title: Mixture of Experts Meets Prompt-Based Continual Learning
Authors: Minh Le, An Nguyen, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Van Ngo, Nhat Ho
Comments: 34 pages
Subjects: Machine Learning (cs.LG)
[109]  arXiv:2405.14121 [pdf, other]
Title: One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
Authors: Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
Comments: A preliminary version appeared in the Proceedings of the 12th International Conference on Learning Representations (ICLR 2024)
Subjects: Machine Learning (cs.LG)
[110]  arXiv:2405.14114 [pdf, other]
Title: Offline Reinforcement Learning from Datasets with Structured Non-Stationarity
Authors: Johannes Ackermann, Takayuki Osa, Masashi Sugiyama
Comments: Accepted for Reinforcement Learning Conference (RLC) 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[111]  arXiv:2405.14111 [pdf, other]
Title: Improving Generalization of Deep Neural Networks by Optimum Shifting
Authors: Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang
Subjects: Machine Learning (cs.LG)
[112]  arXiv:2405.14108 [pdf, other]
Title: Deep Learning for Protein-Ligand Docking: Are We There Yet?
Authors: Alex Morehead, Nabin Giri, Jian Liu, Jianlin Cheng
Comments: 22 pages, 1 table, 22 figures. Under review. Code, data, tutorials, and benchmark results are available at this https URL
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Biomolecules (q-bio.BM); Quantitative Methods (q-bio.QM)
[113]  arXiv:2405.14103 [pdf, other]
Title: Online Self-Preferring Language Models
Authors: Yuanzhao Zhai, Zhuo Zhang, Kele Xu, Hanyang Peng, Yue Yu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang
Comments: 20 pages, 9 figures
Subjects: Machine Learning (cs.LG)
[114]  arXiv:2405.14099 [pdf, other]
Title: Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
Authors: Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao
Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)
[115]  arXiv:2405.14096 [pdf, other]
Title: Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations
Authors: Wenrui Hao, Xinliang Liu, Yahong Yang
Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)
[116]  arXiv:2405.14094 [pdf, other]
Title: Attending to Topological Spaces: The Cellular Transformer
Authors: Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Algebraic Topology (math.AT); Machine Learning (stat.ML)
[117]  arXiv:2405.14090 [pdf, other]
Title: Actively Learning Combinatorial Optimization Using a Membership Oracle
Authors: Rosario Messana, Rui Chen, Andrea Lodi
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[118]  arXiv:2405.14089 [pdf, other]
Title: Improved Canonicalization for Model Agnostic Equivariance
Authors: Siba Smarak Panigrahi, Arnab Kumar Mondal
Comments: Accepted to EquiVision workshop, CVPR 2024. 7 pages, 1 figure
Subjects: Machine Learning (cs.LG)
[119]  arXiv:2405.14088 [pdf, other]
Title: High-dimensional Learning with Noisy Labels
Authors: Aymane El Firdoussi, Mohamed El Amine Seddik
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[120]  arXiv:2405.14082 [pdf, other]
Title: Exclusively Penalized Q-learning for Offline Reinforcement Learning
Authors: Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han
Comments: 9 pages technical page followed by references and appendix
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[121]  arXiv:2405.14079 [pdf, other]
Title: Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network
Authors: Dingyi Zhuang, Qingyi Wang, Yunhan Zheng, Xiaotong Guo, Shenhao Wang, Haris N Koutsopoulos, Jinhua Zhao
Comments: 29 pages
Subjects: Machine Learning (cs.LG)
[122]  arXiv:2405.14073 [pdf, other]
Title: PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
Authors: Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu
Subjects: Machine Learning (cs.LG)
[123]  arXiv:2405.14066 [pdf, ps, other]
Title: Online Classification with Predictions
Authors: Vinod Raman, Ambuj Tewari
Comments: 24 pages
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)
[124]  arXiv:2405.14060 [pdf, ps, other]
Title: Probabilistic Inference in the Era of Tensor Networks and Differential Programming
Authors: Martin Roa-Villescas, Xuanzhao Gao, Sander Stuijk, Henk Corporaal, Jin-Guo Liu
Comments: 12 pages, 4 figures
Subjects: Machine Learning (cs.LG); Computational Physics (physics.comp-ph)
[125]  arXiv:2405.14051 [pdf, ps, other]
Title: A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models
Authors: Yijin Ni, Xiaoming Huo
Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST)
[126]  arXiv:2405.14049 [pdf, other]
Title: Particle physics DL-simulation with control over generated data properties
Authors: Karol Rogoziński, Jan Dubiński, Przemysław Rokita, Kamil Deja
Subjects: Machine Learning (cs.LG)
[127]  arXiv:2405.14045 [pdf, other]
Title: Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
Authors: Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly Stachenfeld, Tobias Pfaff
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[128]  arXiv:2405.14033 [pdf, other]
Title: Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization
Authors: Daniel Kuelbs, Sanjay Lall, Mert Pilanci
Comments: 6 pages, 4 figures
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[129]  arXiv:2405.14023 [pdf, other]
Title: WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response
Authors: Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen
Subjects: Machine Learning (cs.LG)
[130]  arXiv:2405.14021 [pdf, other]
Title: A Study of Posterior Stability for Time-Series Latent Diffusion
Authors: Yangming Li, Mihaela van der Schaar
Comments: Paper under review
Subjects: Machine Learning (cs.LG)
[131]  arXiv:2405.14020 [pdf, other]
Title: Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
Authors: Ling Han, Hao Huang, Dustin Scheinost, Mary-Anne Hartley, María Rodríguez Martínez
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[132]  arXiv:2405.14016 [pdf, other]
Title: Towards a Unified Framework for Evaluating Explanations
Authors: Juan D. Pinto, Luc Paquette
Comments: 6 pages. Submitted to HEXED Workshop @ EDM24
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[133]  arXiv:2405.14008 [pdf, other]
Title: Bayesian Inverse Problems with Conditional Sinkhorn Generative Adversarial Networks in Least Volume Latent Spaces
Authors: Qiuyi Chen, Panagiotis Tsilifis, Mark Fuge
Subjects: Machine Learning (cs.LG)
[134]  arXiv:2405.14007 [pdf, other]
Title: A Practice in Enrollment Prediction with Markov Chain Models
Authors: Yan Zhao, Amy Otteson
Subjects: Machine Learning (cs.LG)
[135]  arXiv:2405.14002 [pdf, other]
Title: Animal Behavior Analysis Methods Using Deep Learning: A Survey
Authors: Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini
Subjects: Machine Learning (cs.LG)
[136]  arXiv:2405.13998 [pdf, other]
Title: Bridging Operator Learning and Conditioned Neural Fields: A Unifying Perspective
Authors: Sifan Wang, Jacob H Seidman, Shyam Sankaran, Hanwen Wang, George J. Pappas, Paris Perdikaris
Comments: 23 pages, 13 figures
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[137]  arXiv:2405.13995 [pdf, other]
Title: Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly
Authors: Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky
Comments: In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM 2022), 9 pages
Subjects: Machine Learning (cs.LG)
[138]  arXiv:2405.13994 [pdf, other]
Title: Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
Authors: Murad Tukan, Loay Mualem, Moran Feldman
Subjects: Machine Learning (cs.LG); Discrete Mathematics (cs.DM); Data Structures and Algorithms (cs.DS)
[139]  arXiv:2405.13987 [pdf, other]
Title: Analysis of Corrected Graph Convolutions
Authors: Robert Wang, Aseem Baranwal, Kimon Fountoulakis
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Discrete Mathematics (cs.DM); Statistics Theory (math.ST); Machine Learning (stat.ML)
[140]  arXiv:2405.13983 [pdf, other]
Title: DirectMultiStep: Direct Route Generation for Multi-Step Retrosynthesis
Authors: Yu Shee, Haote Li, Anton Morgunov, Victor Batista
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[141]  arXiv:2405.13980 [pdf, other]
Title: Rank Reduction Autoencoders -- Enhancing interpolation on nonlinear manifolds
Authors: Jad Mounayer, Sebastian Rodriguez, Chady Ghnatios, Charbel Farhat, Francisco Chinesta
Subjects: Machine Learning (cs.LG)
[142]  arXiv:2405.13978 [pdf, other]
Title: Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning
Authors: Prashant Bhat, Bharath Renjith, Elahe Arani, Bahram Zonooz
Comments: Published at 3rd Conference on Lifelong Learning Agents (CoLLAs 2024)
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
[143]  arXiv:2405.13977 [pdf, other]
Title: Removing Bias from Maximum Likelihood Estimation with Model Autophagy
Authors: Paul Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, Richard G. Baraniuk
Comments: 9 Pages, submission for NeurIPS 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[144]  arXiv:2405.13975 [pdf, other]
Title: There is HOPE to Avoid HiPPOs for Long-memory State Space Models
Authors: Annan Yu, Michael W. Mahoney, N. Benjamin Erichson
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[145]  arXiv:2405.13972 [pdf, other]
Title: Infinite-Dimensional Feature Interaction
Authors: Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen
Subjects: Machine Learning (cs.LG)
[146]  arXiv:2405.13965 [pdf, other]
Title: Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in Smart Grids
Authors: Hanyu Zeng, Pengfei Zhou, Xin Lou, Zhen Wei Ng, David K.Y. Yau, Marianne Winslett
Comments: 9 pages, 5 figures
Subjects: Machine Learning (cs.LG)
[147]  arXiv:2405.13964 [pdf, other]
Title: Design Editing for Offline Model-based Optimization
Authors: Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Zixuan Li, Jianmo Li, James J. Clark, Xue Liu
Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE)
[148]  arXiv:2405.13961 [pdf, other]
Title: SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
Authors: Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Multiagent Systems (cs.MA)
[149]  arXiv:2405.13957 [pdf, other]
Title: Exploring the Relationship Between Feature Attribution Methods and Model Performance
Authors: Priscylla Silva, Claudio T. Silva, Luis Gustavo Nonato
Comments: AAAI2024 Workshop on AI for Education - Bridging Innovation and Responsibility
Subjects: Machine Learning (cs.LG)
[150]  arXiv:2405.13956 [pdf, other]
Title: Attention as an RNN
Authors: Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio, Greg Mori
Subjects: Machine Learning (cs.LG)
[151]  arXiv:2405.13954 [pdf, other]
Title: What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Authors: Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Minsoo Kang, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff Schneider, Eduard Hovy, Roger Grosse, Eric Xing
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
[152]  arXiv:2405.13952 [pdf, other]
Title: Spectral Adapter: Fine-Tuning in Spectral Space
Authors: Fangzhao Zhang, Mert Pilanci
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[153]  arXiv:2405.13947 [pdf, other]
Title: Leader Reward for POMO-Based Neural Combinatorial Optimization
Authors: Chaoyang Wang, Pengzhi Cheng, Jingze Li, Weiwei Sun
Subjects: Machine Learning (cs.LG)
[154]  arXiv:2405.13938 [pdf, other]
Title: eXmY: A Data Type and Technique for Arbitrary Bit Precision Quantization
Authors: Aditya Agrawal, Matthew Hedlund, Blake Hechtman
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Numerical Analysis (math.NA)
[155]  arXiv:2405.13937 [pdf, other]
Title: DyGPrompt: Learning Feature and Time Prompts on Dynamic Graphs
Authors: Xingtong Yu, Zhenghao Liu, Yuan Fang, Xinming Zhang
Comments: Under review
Subjects: Machine Learning (cs.LG)
[156]  arXiv:2405.13934 [pdf, other]
Title: Text-Free Multi-domain Graph Pre-training:Toward Graph Foundation Models
Authors: Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang
Comments: Under review
Subjects: Machine Learning (cs.LG)
[157]  arXiv:2405.13922 [pdf, other]
Title: Towards Certification of Uncertainty Calibration under Adversarial Attacks
Authors: Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H.S. Torr, Adel Bibi
Comments: 11 pages main paper, appendix included
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[158]  arXiv:2405.13915 [pdf, other]
Title: HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
Authors: Zhenyu Pan, Yoonsung Jeong, Xiaoda Liu, Han Liu
Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI)
[159]  arXiv:2405.13910 [pdf, other]
Title: Learning Latent Space Hierarchical EBM Diffusion Models
Authors: Jiali Cui, Tian Han
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)
[160]  arXiv:2405.13902 [pdf, other]
Title: LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Authors: Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[161]  arXiv:2405.13900 [pdf, other]
Title: Rehearsal-free Federated Domain-incremental Learning
Authors: Rui Sun, Haoran Duan, Jiahua Dong, Varun Ojha, Tejal Shah, Rajiv Ranjan
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[162]  arXiv:2405.13888 [pdf, other]
Title: Marrying Causal Representation Learning with Dynamical Systems for Science
Authors: Dingling Yao, Caroline Muller, Francesco Locatello
Comments: 21 pages, 8 figures, 6 tables
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[163]  arXiv:2405.13868 [pdf, other]
Title: Automatically Identifying Local and Global Circuits with Linear Computation Graphs
Authors: Xuyang Ge, Fukang Zhu, Wentao Shu, Junxuan Wang, Zhengfu He, Xipeng Qiu
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[164]  arXiv:2405.13867 [pdf, other]
Title: Scaling-laws for Large Time-series Models
Authors: Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H. Nguyen, Benjamin D. Wandelt
Comments: 8 pages, 3 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[165]  arXiv:2405.13866 [pdf, other]
Title: Koopcon: A new approach towards smarter and less complex learning
Authors: Vahid Jebraeeli, Bo Jiang, Derya Cansever, Hamid Krim
Comments: 7 pages, 3 figures
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)
[166]  arXiv:2405.13861 [pdf, other]
Title: Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning
Authors: Jiuqi Wang, Ethan Blaser, Hadi Daneshmand, Shangtong Zhang
Subjects: Machine Learning (cs.LG)
[167]  arXiv:2405.13848 [pdf, other]
Title: Maximum Manifold Capacity Representations in State Representation Learning
Authors: Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
Subjects: Machine Learning (cs.LG)
[168]  arXiv:2405.13817 [pdf, other]
Title: Thermodynamic Natural Gradient Descent
Authors: Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin Crooks, Patrick J. Coles
Comments: 17 pages, 7 figures
Subjects: Machine Learning (cs.LG); Emerging Technologies (cs.ET)
[169]  arXiv:2405.13812 [pdf, other]
Title: Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform
Authors: Noam Koren, Kira Radinsky
Subjects: Machine Learning (cs.LG)
[170]  arXiv:2405.13810 [pdf, other]
Title: Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
Authors: Xin Cheng, Xiuying Chen, Shuqi Li, Di Luo, Xun Wang, Dongyan Zhao, Rui Yan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[171]  arXiv:2405.13806 [pdf, other]
Title: Advancing Graph Convolutional Networks via General Spectral Wavelets
Authors: Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
Subjects: Machine Learning (cs.LG)
[172]  arXiv:2405.13796 [pdf, other]
Title: Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Authors: Wanghan Xu, Fenghua Ling, Wenlong Zhang, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[173]  arXiv:2405.13791 [pdf, other]
Title: Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose
Authors: Michael Kilgour, Jutta Rogal, Mark Tuckerman
Comments: 16 pages, 8 figures, including main text, bibliography and supplemental material
Subjects: Machine Learning (cs.LG)
[174]  arXiv:2405.13787 [pdf, other]
Title: Disentangle Sample Size and Initialization Effect on Perfect Generalization for Single-Neuron Target
Authors: Jiajie Zhao, Zhiwei Bai, Yaoyu Zhang
Comments: 22 pages, 11 figures
Subjects: Machine Learning (cs.LG)
[175]  arXiv:2405.13785 [pdf, other]
Title: Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling
Authors: Shifan Zhao, Jiaying Lu, Ji Yang (Carl), Edmond Chow, Yuanzhe Xi
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Probability (math.PR); Machine Learning (stat.ML)
[176]  arXiv:2405.13765 [pdf, ps, other]
Title: On the stability of second order gradient descent for time varying convex functions
Authors: Travis E. Gibson, Sawal Acharya, Anjali Parashar, Joseph E. Gaudio, Anurdha M. Annaswamy
Comments: 13 pages, 0 figures
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[177]  arXiv:2405.13763 [pdf, other]
Title: Banded Square Root Matrix Factorization for Differentially Private Model Training
Authors: Nikita Kalinin, Christoph Lampert
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)
[178]  arXiv:2405.13759 [pdf, other]
Title: Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
Authors: Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger, Stefan Wittek, Stefan Hartmann, Andreas Rausch
Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE)
[179]  arXiv:2405.13755 [pdf, ps, other]
Title: Offline RL via Feature-Occupancy Gradient Ascent
Authors: Gergely Neu, Nneka Okolo
Comments: 26 pages
Subjects: Machine Learning (cs.LG)
[180]  arXiv:2405.13753 [pdf, other]
Title: A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence
Authors: Tom Sühr, Samira Samadi, Chiara Farronato
Comments: 9 Pages and appendix
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); General Economics (econ.GN)
[181]  arXiv:2405.13746 [pdf, other]
Title: CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models
Authors: Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)
[182]  arXiv:2405.13738 [pdf, ps, other]
Title: Memory capacity of three-layer neural networks with non-polynomial activations
Authors: Liam Madden
Comments: 8 pages
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[183]  arXiv:2405.13729 [pdf, other]
Title: ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models
Authors: Rui Xu, Jiepeng Wang, Hao Pan, Yang Liu, Xin Tong, Shiqing Xin, Changhe Tu, Taku Komura, Wenping Wang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR)
[184]  arXiv:2405.13726 [pdf, other]
Title: Score-based Generative Models with Adaptive Momentum
Authors: Ziqing Wen, Xiaoge Deng, Ping Luo, Tao Sun, Dongsheng Li
Subjects: Machine Learning (cs.LG)
[185]  arXiv:2405.13721 [pdf, other]
Title: Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
Authors: Zhiwei Bai, Jiajie Zhao, Yaoyu Zhang
Comments: 34 pages
Subjects: Machine Learning (cs.LG)
[186]  arXiv:2405.13718 [pdf, other]
Title: Upper and lower memory capacity bounds of transformers for next-token prediction
Authors: Liam Madden, Curtis Fox, Christos Thrampoulidis
Comments: 13 pages, 1 figure
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[187]  arXiv:2405.13712 [pdf, other]
Title: Learning Diffusion Priors from Observations by Expectation Maximization
Authors: François Rozet, Gérôme Andry, François Lanusse, Gilles Louppe
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[188]  arXiv:2405.13711 [pdf, other]
Title: VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation
Authors: Yi Xiao, Qilong Jia, Wei Xue, Lei Bai
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Dynamical Systems (math.DS); Atmospheric and Oceanic Physics (physics.ao-ph)
[189]  arXiv:2405.13707 [pdf, other]
Title: Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Authors: Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[190]  arXiv:2405.13699 [pdf, other]
Title: Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior
Authors: Lorenzo Perini, Maja Rudolph, Sabrina Schmedding, Chen Qiu
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[191]  arXiv:2405.13698 [pdf, other]
Title: How to set AdamW's weight decay as you scale model and dataset size
Authors: Xi Wang, Laurence Aitchison
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[192]  arXiv:2405.13693 [pdf, ps, other]
Title: Uncovering Algorithmic Discrimination: An Opportunity to Revisit the Comparator
Authors: Jose M. Alvarez, Salvatore Ruggieri
Subjects: Machine Learning (cs.LG)
[193]  arXiv:2405.13692 [pdf, other]
Title: Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com
Authors: Sergei Krutikov (1), Bulat Khaertdinov (2), Rodion Kiriukhin (1), Shubham Agrawal (1), Kees Jan De Vries (1) ((1) Booking.com, (2) Maastricht University)
Comments: Submitted to CIKM'24, Applied Research track
Subjects: Machine Learning (cs.LG)
[194]  arXiv:2405.13682 [pdf, other]
Title: Constructive Universal Approximation Theorems for Deep Joint-Equivariant Networks by Schur's Lemma
Authors: Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda
Subjects: Machine Learning (cs.LG); Representation Theory (math.RT); Machine Learning (stat.ML)
[195]  arXiv:2405.13677 [pdf, ps, other]
Title: Naturally Private Recommendations with Determinantal Point Processes
Authors: Jack Fitzsimons, Agustín Freitas Pasqualini, Robert Pisarczyk, Dmitrii Usynin
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)
[196]  arXiv:2405.13666 [pdf, ps, other]
Title: Generalization Bounds for Dependent Data using Online-to-Batch Conversion
Authors: Sagnik Chatterjee, Manuj Mukherjee, Alhad Sethi
Subjects: Machine Learning (cs.LG)
[197]  arXiv:2405.13646 [pdf, ps, other]
Title: A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on explainable artificial intelligence technology
Authors: Mingyu Liu, Nana Bao, Xingting Yan, Chenyang Li, Kai Peng
Subjects: Machine Learning (cs.LG)
[198]  arXiv:2405.13639 [pdf, other]
Title: On Hardware-efficient Inference in Probabilistic Circuits
Authors: Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh, Peng Zhang, Karthekeyan Periasamy, Martin Andraud
Subjects: Machine Learning (cs.LG)
[199]  arXiv:2405.13632 [pdf, other]
Title: Task agnostic continual learning with Pairwise layer architecture
Authors: Santtu Keskinen
Subjects: Machine Learning (cs.LG)
[200]  arXiv:2405.13629 [pdf, other]
Title: Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Authors: Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
Subjects: Machine Learning (cs.LG)
[201]  arXiv:2405.13609 [pdf, other]
Title: Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
Authors: Maximilian Nägele, Jan Olle, Thomas Fösel, Remmy Zen, Florian Marquardt
Subjects: Machine Learning (cs.LG); Computational Finance (q-fin.CP); Quantum Physics (quant-ph)
[202]  arXiv:2405.13599 [pdf, other]
Title: LogRCA: Log-based Root Cause Analysis for Distributed Services
Authors: Thorsten Wittkopp, Philipp Wiesner, Odej Kao
Comments: Accepted at Euro-Par 2024 as a fullpaper
Subjects: Machine Learning (cs.LG)
[203]  arXiv:2405.13592 [pdf, other]
Title: Almost sure convergence rates of stochastic gradient methods under gradient domination
Authors: Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[204]  arXiv:2405.13586 [pdf, other]
Title: Bond Graphs for multi-physics informed Neural Networks for multi-variate time series
Authors: Alexis-Raja Brachet, Pierre-Yves Richard, Céline Hudelot
Comments: 8 pages, 3 figures, paper under review
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[205]  arXiv:2405.13584 [pdf, other]
Title: Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning
Authors: Qingming Li, Juzheng Miao, Puning Zhao, Li Zhou, Shouling Ji, Bowen Zhou, Furui Liu
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[206]  arXiv:2405.13575 [pdf, other]
Title: PDMLP: Patch-based Decomposed MLP for Long-Term Time Series Forecastin
Authors: Peiwang Tang, Weitai Zhang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[207]  arXiv:2405.13557 [pdf, other]
Title: MotionCraft: Physics-based Zero-Shot Video Generation
Authors: Luca Savant Aira, Antonio Montanaro, Emanuele Aiello, Diego Valsesia, Enrico Magli
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
[208]  arXiv:2405.13551 [pdf, other]
Title: Large Language Models are Effective Priors for Causal Graph Discovery
Authors: Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[209]  arXiv:2405.13536 [pdf, other]
Title: Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
Authors: Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
[210]  arXiv:2405.13535 [pdf, other]
Title: Generalized Laplace Approximation
Authors: Yinsong Chen, Samson S. Yu, Zhong Li, Chee Peng Lim
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[211]  arXiv:2405.13526 [pdf, other]
Title: Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity
Authors: Joshua Southern, Francesco Di Giovanni, Michael Bronstein, Johannes F. Lutzeyer
Subjects: Machine Learning (cs.LG)
[212]  arXiv:2405.13522 [pdf, other]
Title: Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues
Authors: Zhijian Xu, Yuxuan Bian, Jianyuan Zhong, Xiangyu Wen, Qiang Xu
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
[213]  arXiv:2405.13511 [pdf, other]
Title: Latent Space Alignment for Semantic Channel Equalization
Authors: Tomás Huttebraucker, Mohamed Sana, Emilio Calvanese Strinati
Comments: Accepted for publication at 2024 IEEE ICMLCN
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Information Theory (cs.IT)
[214]  arXiv:2405.13474 [pdf, other]
Title: Why do explanations fail? A typology and discussion on failures in XAI
Authors: Clara Bove, Thibault Laugel, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
[215]  arXiv:2405.13453 [pdf, other]
Title: A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
Authors: Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)
[216]  arXiv:2405.13449 [pdf, other]
Title: Input Guided Multiple Deconstruction Single Reconstruction neural network models for Matrix Factorization
Authors: Prasun Dutta, Rajat K.De
Comments: 50 pages, 25 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[217]  arXiv:2405.13445 [pdf, other]
Title: Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training
Authors: Zhiyuan Wang, Bokui Chen, Xiaoyang Qu, Zhenhou Hong, Jing Xiao, Jianzong Wang
Comments: Accepted by the 2024 International Joint Conference on Neural Networks (IJCNN 2024)
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[218]  arXiv:2405.13427 [pdf, ps, other]
Title: Adaptive Fuzzy C-Means with Graph Embedding
Authors: Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li
Subjects: Machine Learning (cs.LG)
[219]  arXiv:2405.13407 [pdf, other]
Title: Dynamic Context Adaptation and Information Flow Control in Transformers: Introducing the Evaluator Adjuster Unit and Gated Residual Connections
Authors: Sahil Rajesh Dhayalkar
Comments: 10 pages, 2 figures, 4 experiments
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[220]  arXiv:2405.13396 [pdf, other]
Title: Why In-Context Learning Transformers are Tabular Data Classifiers
Authors: Felix den Breejen, Sangmin Bae, Stephen Cha, Se-Young Yun
Comments: 9 pages main body, 22 pages total. Preprint under review
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[221]  arXiv:2405.13393 [pdf, other]
Title: NFCL: Simply interpretable neural networks for a short-term multivariate forecasting
Authors: Wonkeun Jo, Dongil Kim
Comments: 24 pages, 9 figures, preprint
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[222]  arXiv:2405.13392 [pdf, other]
Title: Local convergence of min-max algorithms to differentiable equilibrium on Riemannian manifold
Authors: Sixin Zhang
Comments: under review
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[223]  arXiv:2405.13390 [pdf, ps, other]
Title: Convergence analysis of kernel learning FBSDE filter
Authors: Yunzheng Lyu, Feng Bao
Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Mathematical Finance (q-fin.MF)
[224]  arXiv:2405.13383 [pdf, other]
Title: Gradient Projection For Parameter-Efficient Continual Learning
Authors: Jingyang Qiao, Zhizhong Zhang, Xin Tan, Yanyun Qu, Wensheng Zhang, Yuan Xie
Subjects: Machine Learning (cs.LG)
[225]  arXiv:2405.13381 [pdf, ps, other]
Title: Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking and Bidding
Authors: Chang Zhou, Yang Zhao, Jin Cao, Yi Shen, Jing Gao, Xiaoling Cui, Chiyu Cheng, Hao Liu
Comments: Accepted by 2024 5th International Conference on Electronic communication and Artificial Intelligence (ICECAI 2024)
Subjects: Machine Learning (cs.LG)
[226]  arXiv:2405.13378 [pdf, other]
Title: FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning
Authors: Quyang Pan, Sheng Sun, Zhiyuan Wu, Yuwei Wang, Min Liu, Bo Gao
Comments: 20 pages, 8 figures, 10 tables
Subjects: Machine Learning (cs.LG)
[227]  arXiv:2405.13375 [pdf, other]
Title: Adaptive Data Analysis for Growing Data
Authors: Neil G. Marchant, Benjamin I. P. Rubinstein
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[228]  arXiv:2405.13372 [pdf, other]
Title: Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Authors: Shuai Wang, David W. Zhang, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring
Subjects: Machine Learning (cs.LG)
[229]  arXiv:2405.13365 [pdf, other]
Title: Clipped Uniform Quantizers for Communication-Efficient Federated Learning
Authors: Zavareh Bozorgasl, Hao Chen
Comments: Work in progress
Subjects: Machine Learning (cs.LG); Multiagent Systems (cs.MA); Signal Processing (eess.SP)
[230]  arXiv:2405.13348 [pdf, other]
Title: On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity
Authors: Pablo Rivas, Tomas Cerny, Alejandro Rodriguez Perez, Javier Turek, Laurie Giddens, Gisela Bichler, Stacie Petter
Comments: LXAI Workshop at the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)
Subjects: Machine Learning (cs.LG)
[231]  arXiv:2405.13347 [pdf, other]
Title: Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System
Authors: Abdullah M. Zyarah, Dhireesha Kudithipudi
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Hardware Architecture (cs.AR)
[232]  arXiv:2405.13324 [pdf, other]
Title: Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
Authors: Shayan Mohajer Hamidi, Linfeng Ye
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[233]  arXiv:2405.13300 [pdf, other]
Title: FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
Authors: Ruiqi Li, Maowei Jiang, Kai Wang, Kaiduo Feng, Quangao Liu, Yue Sun, Xiufang Zhou
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[234]  arXiv:2405.13290 [pdf, other]
Title: Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees
Authors: Cangqing Wang, Mingxiu Sui, Dan Sun, Zecheng Zhang, Yan Zhou
Comments: This paper has been accepted by the 2024 International Conference on Modeling, Natural Language Processing and Machine Learning(CMNM 2024)
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[235]  arXiv:2405.13288 [pdf, other]
Title: Remarks on Loss Function of Threshold Method for Ordinal Regression Problem
Authors: Ryoya Yamasaki, Toshiyuki Tanaka
Subjects: Machine Learning (cs.LG)
[236]  arXiv:2405.13268 [pdf, other]
Title: Stochastic Online Conformal Prediction with Semi-Bandit Feedback
Authors: Haosen Ge, Hamsa Bastani, Osbert Bastani
Subjects: Machine Learning (cs.LG)
[237]  arXiv:2405.13264 [pdf, other]
Title: Part-based Quantitative Analysis for Heatmaps
Authors: Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton Fookes
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
[238]  arXiv:2405.13254 [pdf, other]
Title: System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Authors: Sepehr Sharifi, Andrea Stocco, Lionel C. Briand
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO); Software Engineering (cs.SE)
[239]  arXiv:2405.13227 [pdf, ps, other]
Title: A rapid approach to urban traffic noise mapping with a generative adversarial network
Authors: Xinhao Yang, Zhen Han, Xiaodong Lu, Yuan Zhang
Comments: submitted to Applied Acoustics as a technical note
Subjects: Machine Learning (cs.LG); Applied Physics (physics.app-ph)
[240]  arXiv:2405.13220 [pdf, other]
Title: Paired Autoencoders for Inverse Problems
Authors: Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
Comments: 18 pages, 6 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Numerical Analysis (math.NA)
[241]  arXiv:2405.13217 [pdf, other]
Title: Interactive Simulations of Backdoors in Neural Networks
Authors: Peter Bajcsy, Maxime Bros
Comments: 13 pages, 7 figures, 1 Table
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)
[242]  arXiv:2405.13205 [pdf, other]
Title: Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
Authors: Amutheezan Sivagnanam, Ava Pettet, Hunter Lee, Ayan Mukhopadhyay, Abhishek Dubey, Aron Laszka
Subjects: Machine Learning (cs.LG)
[243]  arXiv:2405.13203 [pdf, other]
Title: Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts
Authors: Garrett Tanzer, Gustaf Ahdritz, Luke Melas-Kyriazi
Comments: GT and GA contributed equally
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[244]  arXiv:2405.13193 [pdf, other]
Title: Efficient Imitation Learning with Conservative World Models
Authors: Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu, Chelsea Finn
Comments: Oral presentation, L4DC 2024
Subjects: Machine Learning (cs.LG)
[245]  arXiv:2405.13191 [pdf, other]
Title: Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
Authors: Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, Marc P. Hauer, Abdeldjallil Naceri, Patrick van der Smagt
Subjects: Machine Learning (cs.LG)
[246]  arXiv:2405.13190 [pdf, other]
Title: Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
Authors: Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex Leow, Paul Thompson, Heng Huang, Liang Zhan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[247]  arXiv:2405.13187 [pdf, other]
Title: A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
Authors: Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner
Subjects: Machine Learning (cs.LG)
[248]  arXiv:2405.13173 [pdf, other]
Title: Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data
Authors: Biplob Biswas, Rajiv Ramnath
Comments: 10 pages, 5 figures, ECNLP 7 @ LREC-COLING 2024
Subjects: Machine Learning (cs.LG)
[249]  arXiv:2405.13155 [pdf, other]
Title: ReALLM: A general framework for LLM compression and fine-tuning
Authors: Louis Leconte, Lisa Bedin, Van Minh Nguyen, Eric Moulines
Subjects: Machine Learning (cs.LG)
[250]  arXiv:2405.13136 [pdf, other]
Title: Towards Principled, Practical Policy Gradient for Bandits and Tabular MDPs
Authors: Michael Lu, Matin Aghaei, Anant Raj, Sharan Vaswani
Subjects: Machine Learning (cs.LG)
[251]  arXiv:2405.13093 [pdf, other]
Title: Graph neural networks informed locally by thermodynamics
Authors: Alicia Tierz, Iciar Alfaro, David González, Francisco Chinesta, Elías Cueto
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[252]  arXiv:2405.13090 [pdf, other]
Title: FedASTA: Federated adaptive spatial-temporal attention for traffic flow prediction
Authors: Kaiyuan Li, Yihan Zhang, Xinlei Chen
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)
[253]  arXiv:2405.13089 [pdf, other]
Title: SEGAN: semi-supervised learning approach for missing data imputation
Authors: Xiaohua Pan, Weifeng Wu, Peiran Liu, Zhen Li, Peng Lu, Peijian Cao, Jianfeng Zhang, Xianfei Qiu, YangYang Wu
Subjects: Machine Learning (cs.LG)
[254]  arXiv:2405.13088 [pdf, other]
Title: Combining Relevance and Magnitude for Resource-Aware DNN Pruning
Authors: Carla Fabiana Chiasserini, Francesco Malandrino, Nuria Molner, Zhiqiang Zhao
Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)
[255]  arXiv:2405.13082 [pdf, other]
Title: A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis
Authors: Haocong Rao, Minlin Zeng, Xuejiao Zhao, Chunyan Miao
Comments: 35 pages, 9 figures, 5 tables, citing 272 papers, under review at ACM Computing Survey (CSUR) journal. A up-to-date resource (papers, data, etc.) of this survey (AI4NDD) is provided at this https URL
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
[256]  arXiv:2405.13078 [pdf, other]
Title: Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch
Authors: Xin-Chun Li, Wen-Shu Fan, Bowen Tao, Le Gan, De-Chuan Zhan
Subjects: Machine Learning (cs.LG)
[257]  arXiv:2405.13075 [pdf, other]
Title: Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
Authors: S. Zhang, S. Wang, H. Miao, H. Chen, C. Fan, J. Zhang
Subjects: Machine Learning (cs.LG)
[258]  arXiv:2405.14868 (cross-list from cs.CV) [pdf, other]
Title: Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis
Authors: Basile Van Hoorick, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick
Comments: Project webpage is available at: this https URL
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Robotics (cs.RO)
[259]  arXiv:2405.14863 (cross-list from cs.CL) [pdf, other]
Title: A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns
Authors: Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky, Ariel Goldstein, Omri Abend
Comments: CogSci
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[260]  arXiv:2405.14857 (cross-list from cs.CV) [pdf, other]
Title: Semantica: An Adaptable Image-Conditioned Diffusion Model
Authors: Manoj Kumar, Neil Houlsby, Emiel Hoogeboom
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[261]  arXiv:2405.14854 (cross-list from cs.CV) [pdf, other]
Title: TerDiT: Ternary Diffusion Models with Transformers
Authors: Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui Xu, Renrui Zhang, Yafei Wen, Shuai Ren, Peng Gao, Junchi Yan, Hongsheng Li
Comments: 18 pages, 13 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[262]  arXiv:2405.14848 (cross-list from stat.ML) [pdf, other]
Title: Local Causal Discovery for Structural Evidence of Direct Discrimination
Authors: Jacqueline Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[263]  arXiv:2405.14840 (cross-list from stat.ML) [pdf, other]
Title: Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Authors: Johannes Zenn, Robert Bamler
Comments: 22 pages, including 9 pages of main text and 11 pages of appendix, conference paper at ICML 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[264]  arXiv:2405.14838 (cross-list from cs.CL) [pdf, other]
Title: From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
Authors: Yuntian Deng, Yejin Choi, Stuart Shieber
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[265]  arXiv:2405.14830 (cross-list from hep-lat) [pdf, other]
Title: Deep learning lattice gauge theories
Authors: Anuj Apte, Anthony Ashmore, Clay Cordova, Tzu-Chen Huang
Subjects: High Energy Physics - Lattice (hep-lat); Disordered Systems and Neural Networks (cond-mat.dis-nn); Strongly Correlated Electrons (cond-mat.str-el); Machine Learning (cs.LG); High Energy Physics - Theory (hep-th)
[266]  arXiv:2405.14822 (cross-list from cs.CV) [pdf, other]
Title: PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
Authors: Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Machine Learning (stat.ML)
[267]  arXiv:2405.14808 (cross-list from cs.CL) [pdf, other]
Title: Implicit Personalization in Language Models: A Systematic Study
Authors: Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
[268]  arXiv:2405.14806 (cross-list from physics.data-an) [pdf, other]
Title: Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
Authors: Jonas Spinner, Victor Bresó, Pim de Haan, Tilman Plehn, Jesse Thaler, Johann Brehmer
Comments: 10+12 pages, 5+2 figures, 2 tables
Subjects: Data Analysis, Statistics and Probability (physics.data-an); Machine Learning (cs.LG); High Energy Physics - Phenomenology (hep-ph); Machine Learning (stat.ML)
[269]  arXiv:2405.14779 (cross-list from cs.CL) [pdf, other]
Title: Smart Bilingual Focused Crawling of Parallel Documents
Authors: Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sánchez-Martínez
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[270]  arXiv:2405.14778 (cross-list from stat.ML) [pdf, ps, other]
Title: Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
Authors: Dimitri Meunier, Zikai Shen, Mattes Mollenhauer, Arthur Gretton, Zhu Li
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[271]  arXiv:2405.14776 (cross-list from cond-mat.str-el) [pdf, other]
Title: Kinetics of orbital ordering in cooperative Jahn-Teller models: Machine-learning enabled large-scale simulations
Authors: Supriyo Ghosh, Sheng Zhang, Chen Cheng, Gia-Wei Chern
Comments: 17 pages, 11 figures
Subjects: Strongly Correlated Electrons (cond-mat.str-el); Materials Science (cond-mat.mtrl-sci); Machine Learning (cs.LG)
[272]  arXiv:2405.14768 (cross-list from cs.CL) [pdf, other]
Title: WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
Authors: Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Comments: Work in progress
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Information Retrieval (cs.IR); Machine Learning (cs.LG)
[273]  arXiv:2405.14767 (cross-list from q-fin.ST) [pdf, other]
Title: FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Authors: Hongyang Yang, Boyu Zhang, Neng Wang, Cheng Guo, Xiaoli Zhang, Likun Lin, Junlin Wang, Tianyu Zhou, Mao Guan, Runjia Zhang, Christina Dan Wang
Comments: FinRobot Whitepaper V1.0
Subjects: Statistical Finance (q-fin.ST); Computation and Language (cs.CL); Machine Learning (cs.LG); Trading and Market Microstructure (q-fin.TR)
[274]  arXiv:2405.14766 (cross-list from cs.CL) [pdf, other]
Title: Evaluating Large Language Models for Public Health Classification and Extraction Tasks
Authors: Joshua Harris, Timothy Laurence, Leo Loman, Fan Grayson, Toby Nonnenmacher, Harry Long, Loes WalsGriffith, Amy Douglas, Holly Fountain, Stelios Georgiou, Jo Hardstaff, Kathryn Hopkins, Y-Ling Chi, Galena Kuyumdzhieva, Lesley Larkin, Samuel Collins, Hamish Mohammed, Thomas Finnie, Luke Hounsome, Steven Riley
Comments: 33 pages. Feedback and comments are highly appreciated
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[275]  arXiv:2405.14758 (cross-list from cs.GT) [pdf, ps, other]
Title: Axioms for AI Alignment from Human Feedback
Authors: Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
Subjects: Computer Science and Game Theory (cs.GT); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[276]  arXiv:2405.14754 (cross-list from cs.CE) [pdf, other]
Title: Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes
Authors: A. Herreros-Martínez, R. Magdalena-Benedicto, J. Vila-Francés, A.J. Serrano-López, S. Pérez-Díaz
Subjects: Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG)
[277]  arXiv:2405.14753 (cross-list from cs.SE) [pdf, other]
Title: A Transformer-Based Approach for Smart Invocation of Automatic Code Completion
Authors: Aral de Moor, Arie van Deursen, Maliheh Izadi
Comments: 10 pages, 3 figures; Accepted at FSE AIWARE'24
Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
[278]  arXiv:2405.14750 (cross-list from astro-ph.SR) [pdf, other]
Title: Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams
Authors: Juyoung Yun, Jungmin Shin
Comments: submitted to SPAICE Conference 2024
Subjects: Solar and Stellar Astrophysics (astro-ph.SR); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[279]  arXiv:2405.14741 (cross-list from math.OC) [pdf, other]
Title: Bagging Improves Generalization Exponentially
Authors: Huaqian Jie, Donghao Ying, Henry Lam, Wotao Yin
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG)
[280]  arXiv:2405.14736 (cross-list from cs.CV) [pdf, other]
Title: GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Authors: Xinyi Shang, Peng Sun, Tao Lin
Comments: this https URL
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[281]  arXiv:2405.14734 (cross-list from cs.CL) [pdf, other]
Title: SimPO: Simple Preference Optimization with a Reference-Free Reward
Authors: Yu Meng, Mengzhou Xia, Danqi Chen
Comments: Code: this https URL
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[282]  arXiv:2405.14730 (cross-list from cs.CV) [pdf, other]
Title: Embedding Compression for Efficient Re-Identification
Authors: Luke McDermott
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[283]  arXiv:2405.14728 (cross-list from cs.AI) [pdf, ps, other]
Title: Intervention and Conditioning in Causal Bayesian Networks
Authors: Sainyam Galhotra, Joseph Y. Halpern
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[284]  arXiv:2405.14719 (cross-list from math.OC) [pdf, other]
Title: Decision-Focused Forecasting: Decision Losses for Multistage Optimisation
Authors: Egon Peršak, Miguel F. Anjos
Comments: Under review. Preprint
Subjects: Optimization and Control (math.OC); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[285]  arXiv:2405.14677 (cross-list from cs.CV) [pdf, other]
Title: RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Authors: Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Di Zhang, Yang Song, Kun Gai, Yadong Mu
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[286]  arXiv:2405.14630 (cross-list from stat.ML) [pdf, ps, other]
Title: Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
Authors: Kedar Karhadkar, Michael Murray, Guido Montúfar
Comments: 47 pages
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[287]  arXiv:2405.14600 (cross-list from cs.AI) [pdf, other]
Title: Discretization of continuous input spaces in the hippocampal autoencoder
Authors: Adrian F. Amil, Ismael T. Freire, Paul F. M. J. Verschure
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC)
[288]  arXiv:2405.14599 (cross-list from cs.CV) [pdf, other]
Title: Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Authors: Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[289]  arXiv:2405.14598 (cross-list from cs.CV) [pdf, other]
Title: Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation
Authors: Shiqi Yang, Zhi Zhong, Mengjie Zhao, Shusuke Takahashi, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji
Comments: 10 pages
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)
[290]  arXiv:2405.14577 (cross-list from cs.CL) [pdf, other]
Title: Representation noising effectively prevents harmful fine-tuning on LLMs
Authors: Domenic Rosati, Jan Wehner, Kai Williams, Łukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[291]  arXiv:2405.14574 (cross-list from stat.ML) [pdf, other]
Title: Learning with Fitzpatrick Losses
Authors: Seta Rakotomandimby, Jean-Philippe Chancelier, Michel de Lara, Mathieu Blondel
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[292]  arXiv:2405.14573 (cross-list from cs.AI) [pdf, other]
Title: AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
Authors: Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz, Gabrielle Lau, Marybeth Fair, Alice Li, William Bishop, Wei Li, Folawiyo Campbell-Ajala, Daniel Toyama, Robert Berry, Divya Tyamagundlu, Timothy Lillicrap, Oriana Riva
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[293]  arXiv:2405.14555 (cross-list from cs.CL) [pdf, other]
Title: Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models
Authors: Abhishek Kumar, Sarfaroz Yunusov, Ali Emami
Comments: 9 pages (excluding references), accepted to ACL 2024 Main Conference
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)
[294]  arXiv:2405.14545 (cross-list from q-bio.BM) [pdf, other]
Title: A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction
Authors: Hongzhi Zhang, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu
Subjects: Biomolecules (q-bio.BM); Machine Learning (cs.LG)
[295]  arXiv:2405.14540 (cross-list from stat.ML) [pdf, other]
Title: This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
Authors: Anthony Bardou, Patrick Thiran, Giovanni Ranieri
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[296]  arXiv:2405.14536 (cross-list from q-bio.MN) [pdf, other]
Title: Regressor-free Molecule Generation to Support Drug Response Prediction
Authors: Kun Li, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu
Comments: 22 pages, 7 figures, 9 tables,
Subjects: Molecular Networks (q-bio.MN); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[297]  arXiv:2405.14532 (cross-list from stat.ML) [pdf, other]
Title: Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
Authors: Mathieu Even, Luca Ganassali, Jakob Maier, Laurent Massoulié
Comments: 28 pages, 1 figure. Comments are most welcome!
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)
[298]  arXiv:2405.14528 (cross-list from cs.RO) [pdf, other]
Title: Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach
Authors: Fernando E. Casado
Comments: RSS Pioneers 2024 Research Statement
Subjects: Robotics (cs.RO); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
[299]  arXiv:2405.14507 (cross-list from cs.CL) [pdf, other]
Title: Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast
Authors: Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[300]  arXiv:2405.14505 (cross-list from cs.CL) [pdf, other]
Title: Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing
Authors: Jaime González-González, Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño, Óscar Barba-Seara
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG)
[301]  arXiv:2405.14494 (cross-list from math.ST) [pdf, other]
Title: Entrywise error bounds for low-rank approximations of kernel matrices
Authors: Alexander Modell
Comments: 28 pages, 3 figures
Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG)
[302]  arXiv:2405.14492 (cross-list from stat.ME) [pdf, other]
Title: Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data
Authors: Tim Gyger, Reinhard Furrer, Fabio Sigrist
Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Machine Learning (stat.ML)
[303]  arXiv:2405.14472 (cross-list from eess.SP) [pdf, other]
Title: SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe
Authors: Joris Depoortere, Johan Driesen, Johan Suykens, Hussain Syed Kazmi
Comments: 24 pages, 5 figures
Subjects: Signal Processing (eess.SP); Machine Learning (cs.LG)
[304]  arXiv:2405.14467 (cross-list from cs.CV) [pdf, other]
Title: Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation
Authors: Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer Lienhart
Comments: 7 pages, to be published in IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[305]  arXiv:2405.14453 (cross-list from eess.IV) [pdf, other]
Title: Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images
Authors: Jamie Burke, Justin Engelmann, Charlene Hamid, Diana Moukaddem, Dan Pugh, Neeraj Dhaun, Amos Storkey, Niall Strang, Stuart King, Tom MacGillivray, Miguel O. Bernabeu, Ian J.C. MacCormick
Comments: 13 pages, 2 figures, 8 tables (including supplementary material)
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[306]  arXiv:2405.14436 (cross-list from cs.AI) [pdf, other]
Title: LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules
Authors: Mohamed Mejri, Chandramouli Amarnath, Abhijit Chatterjee
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[307]  arXiv:2405.14428 (cross-list from cs.CL) [pdf, other]
Title: Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs
Authors: Jaewoo Yang, Hayun Kim, Younghoon Kim
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[308]  arXiv:2405.14392 (cross-list from stat.ME) [pdf, other]
Title: Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
Authors: Alberto Cabezas, Louis Sharrock, Christopher Nemeth
Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Machine Learning (stat.ML)
[309]  arXiv:2405.14374 (cross-list from stat.ML) [pdf, other]
Title: State-Constrained Offline Reinforcement Learning
Authors: Charles A. Hepburn, Yue Jin, Giovanni Montana
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[310]  arXiv:2405.14366 (cross-list from cs.CL) [pdf, other]
Title: MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
Authors: Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang
Comments: Tech report
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[311]  arXiv:2405.14335 (cross-list from stat.ML) [pdf, other]
Title: Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
Authors: Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[312]  arXiv:2405.14331 (cross-list from cs.CV) [pdf, other]
Title: LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Authors: Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński
Comments: Work in the review process. The code will be available upon acceptance
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[313]  arXiv:2405.14318 (cross-list from cs.CV) [pdf, other]
Title: Adaptive Rentention & Correction for Continual Learning
Authors: Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[314]  arXiv:2405.14314 (cross-list from cs.AI) [pdf, other]
Title: Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
Authors: Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Xuelong Li, Zhen Wang
Comments: The first two authors contributed equally
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG); Multiagent Systems (cs.MA); Robotics (cs.RO)
[315]  arXiv:2405.14302 (cross-list from math.AT) [pdf, other]
Title: Graphcode: Learning from multiparameter persistent homology using graph neural networks
Authors: Michael Kerber, Florian Russold
Subjects: Algebraic Topology (math.AT); Machine Learning (cs.LG)
[316]  arXiv:2405.14285 (cross-list from stat.ML) [pdf, other]
Title: Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise
Authors: Sebastian Allmeier, Nicolas Gast
Comments: Preprint
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[317]  arXiv:2405.14244 (cross-list from cs.AI) [pdf, other]
Title: Tell my why: Training preferences-based RL with human preferences and step-level explanations
Authors: Jakob Karalus
Subjects: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
[318]  arXiv:2405.14233 (cross-list from cs.CL) [pdf, other]
Title: Language processing in humans and computers
Authors: Dusko Pavlovic
Comments: 100 pages, 64 figures; lecture notes, book draft
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG); Logic in Computer Science (cs.LO)
[319]  arXiv:2405.14205 (cross-list from cs.CL) [pdf, other]
Title: Agent Planning with World Knowledge Model
Authors: Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Comments: Work in progress
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Multiagent Systems (cs.MA)
[320]  arXiv:2405.14199 (cross-list from cs.RO) [pdf, other]
Title: Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
Authors: Emma Clark, Kanghyun Ryu, Negar Mehr
Comments: To be published in L4DC 2024, 10 pages, 5 figures
Subjects: Robotics (cs.RO); Machine Learning (cs.LG)
[321]  arXiv:2405.14194 (cross-list from cs.SI) [pdf, other]
Title: Graphlets correct for the topological information missed by random walks
Authors: Sam F. L. Windels, Noel Malod-Dognin, Natasa Przulj
Subjects: Social and Information Networks (cs.SI); Artificial Intelligence (cs.AI); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG)
[322]  arXiv:2405.14161 (cross-list from cs.CL) [pdf, other]
Title: Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models
Authors: Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
Comments: 23 pages, Preprint
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Sound (cs.SD); Audio and Speech Processing (eess.AS)
[323]  arXiv:2405.14139 (cross-list from q-bio.NC) [pdf, other]
Title: Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule
Authors: Xinhao Fan, Shreesh P Mysore
Subjects: Neurons and Cognition (q-bio.NC); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)
[324]  arXiv:2405.14131 (cross-list from stat.ML) [pdf, other]
Title: Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts
Authors: Huy Nguyen, Pedram Akbarian, Trang Pham, Trang Nguyen, Shujian Zhang, Nhat Ho
Comments: 44 pages, 2 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[325]  arXiv:2405.14128 (cross-list from cs.RO) [pdf, other]
Title: Transformers for Image-Goal Navigation
Authors: Nikhilanj Pelluri
Subjects: Robotics (cs.RO); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[326]  arXiv:2405.14116 (cross-list from cs.RO) [pdf, other]
Title: Learning Multimodal Confidence for Intention Recognition in Human-Robot Interaction
Authors: Xiyuan Zhao, Huijun Li, Tianyuan Miao, Xianyi Zhu, Zhikai Wei, Aiguo Song
Subjects: Robotics (cs.RO); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
[327]  arXiv:2405.14115 (cross-list from cs.CV) [pdf, other]
Title: Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
Authors: Bum Jun Kim, Sang Woo Kim
Comments: 16 pages, 4 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[328]  arXiv:2405.14106 (cross-list from cs.CR) [pdf, other]
Title: Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
Authors: Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG)
[329]  arXiv:2405.14105 (cross-list from cs.DC) [pdf, other]
Title: Distributed Speculative Inference of Large Language Models
Authors: Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
[330]  arXiv:2405.14101 (cross-list from cs.CV) [pdf, other]
Title: Enhancing Image Layout Control with Loss-Guided Diffusion Models
Authors: Zakaria Patel, Kirill Serkh
Subjects: Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR); Machine Learning (cs.LG)
[331]  arXiv:2405.14078 (cross-list from cs.AI) [pdf, ps, other]
Title: A finite time analysis of distributed Q-learning
Authors: Han-Dong Lim, Donghwan Lee
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Multiagent Systems (cs.MA)
[332]  arXiv:2405.14075 (cross-list from cs.CL) [pdf, other]
Title: $T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
Authors: Chengkun Cai, Xu Zhao, Yucheng Du, Haoliang Liu, Lei Li
Comments: 10 pages, 5 figures
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[333]  arXiv:2405.14064 (cross-list from stat.ML) [pdf, other]
Title: Building a stable classifier with the inflated argmax
Authors: Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)
[334]  arXiv:2405.14062 (cross-list from cs.AI) [pdf, other]
Title: ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
Authors: Jiawei Zhang, Chejian Xu, Bo Li
Comments: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[335]  arXiv:2405.14061 (cross-list from cs.AI) [pdf, other]
Title: Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
Authors: Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
[336]  arXiv:2405.14058 (cross-list from cs.AI) [pdf, other]
Title: Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
Authors: Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Milan Ganai, Tobey Shim, Guy Katz, Clark Barrett
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Systems and Control (eess.SY)
[337]  arXiv:2405.14039 (cross-list from cs.CL) [pdf, other]
Title: Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning
Authors: Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang
Comments: 27 pages, 6 figures, 12 tables
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[338]  arXiv:2405.14038 (cross-list from stat.ML) [pdf, other]
Title: FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits
Authors: Sunrit Chakraborty, Saptarshi Roy, Debabrota Basu
Comments: 28 pages, 1 figure
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)
[339]  arXiv:2405.14014 (cross-list from cs.CV) [pdf, other]
Title: RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
Authors: Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, Yiming Li, Chris Xiaoxuan Lu
Comments: 16 pages, 3 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Robotics (cs.RO)
[340]  arXiv:2405.14009 (cross-list from cs.DC) [pdf, other]
Title: SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures
Authors: Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos, Christos Kozyrakis
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG)
[341]  arXiv:2405.13997 (cross-list from stat.ML) [pdf, other]
Title: Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts
Authors: Huy Nguyen, Nhat Ho, Alessandro Rinaldo
Comments: 31 pages, 2 figures. arXiv admin note: text overlap with arXiv:2402.02952
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[342]  arXiv:2405.13993 (cross-list from cs.CV) [pdf, other]
Title: AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing
Authors: Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M Albrecht
Comments: accepted at 2024 IGARSS
Subjects: Computer Vision and Pattern Recognition (cs.CV); Computational Engineering, Finance, and Science (cs.CE); Information Retrieval (cs.IR); Machine Learning (cs.LG)
[343]  arXiv:2405.13992 (cross-list from math.OC) [pdf, other]
Title: Learning Cut Generating Functions for Integer Programming
Authors: Hongyu Cheng, Amitabh Basu
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG)
[344]  arXiv:2405.13976 (cross-list from cs.NE) [pdf, other]
Title: EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
Authors: Lars Graf, Zhe Su, Giacomo Indiveri
Comments: 11 pages, 6 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems
Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG)
[345]  arXiv:2405.13969 (cross-list from cs.RO) [pdf, other]
Title: Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space
Authors: Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn, Nasser Lashgarian Azad
Comments: Accepted for publication in IEEE Transactions on Intelligent Vehicles
Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Systems and Control (eess.SY)
[346]  arXiv:2405.13962 (cross-list from stat.ML) [pdf, other]
Title: Learning heavy-tailed distributions with Wasserstein-proximal-regularized $α$-divergences
Authors: Ziyu Chen, Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
Comments: 23 pages, 7 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[347]  arXiv:2405.13960 (cross-list from cs.AI) [pdf, other]
Title: Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticity
Authors: Md Ashfaq Salehin
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[348]  arXiv:2405.13950 (cross-list from stat.ML) [pdf, other]
Title: Actor-critic algorithms for fiber sampling problems
Authors: Ivan Gvozdanović, Sonja Petrović
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[349]  arXiv:2405.13944 (cross-list from math.OC) [pdf, other]
Title: A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
Authors: Andrea Serani, Matteo Diez
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG)
[350]  arXiv:2405.13939 (cross-list from quant-ph) [pdf, other]
Title: Principal eigenstate classical shadows
Authors: Daniel Grier, Hakop Pashayan, Luke Schaeffer
Comments: 38 pages
Subjects: Quantum Physics (quant-ph); Information Theory (cs.IT); Machine Learning (cs.LG)
[351]  arXiv:2405.13931 (cross-list from cs.CE) [pdf, other]
Title: A Methodology to Identify Physical or Computational Experiment Conditions for Uncertainty Mitigation
Authors: Efe Y. Yarbasi, Dimitri N. Mavris
Subjects: Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG)
[352]  arXiv:2405.13919 (cross-list from cs.GT) [pdf, ps, other]
Title: Fair Online Bilateral Trade
Authors: François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni
Subjects: Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG)
[353]  arXiv:2405.13912 (cross-list from math.ST) [pdf, other]
Title: Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Authors: Yihan Zhang, Marco Mondelli
Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Machine Learning (cs.LG); Probability (math.PR); Machine Learning (stat.ML)
[354]  arXiv:2405.13901 (cross-list from cs.CV) [pdf, other]
Title: DCT-Based Decorrelated Attention for Vision Transformers
Authors: Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet Cetin, Ulas Bagci
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Signal Processing (eess.SP)
[355]  arXiv:2405.13899 (cross-list from stat.ML) [pdf, ps, other]
Title: Symmetric Linear Bandits with Hidden Symmetry
Authors: Nam Phuong Tran, The Anh Ta, Debmalya Mandal, Long Tran-Thanh
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[356]  arXiv:2405.13879 (cross-list from cs.GT) [pdf, other]
Title: FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Authors: Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
Comments: 18 pages, 5 figures
Subjects: Computer Science and Game Theory (cs.GT); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Theoretical Economics (econ.TH)
[357]  arXiv:2405.13863 (cross-list from cs.AI) [pdf, other]
Title: Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
Authors: Arko Banerjee, Kia Rahmani, Joydeep Biswas, Isil Dillig
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[358]  arXiv:2405.13858 (cross-list from cs.DC) [pdf, other]
Title: Carbon Connect: An Ecosystem for Sustainable Computing
Authors: Benjamin C. Lee, David Brooks, Arthur van Benthem, Udit Gupta, Gage Hills, Vincent Liu, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Hardware Architecture (cs.AR); Emerging Technologies (cs.ET); Machine Learning (cs.LG)
[359]  arXiv:2405.13854 (cross-list from cond-mat.stat-mech) [pdf, other]
Title: On the dynamics of convolutional recurrent neural networks near their critical point
Authors: Aditi Chandra, Marcelo O. Magnasco
Subjects: Statistical Mechanics (cond-mat.stat-mech); Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC)
[360]  arXiv:2405.13850 (cross-list from physics.comp-ph) [pdf, other]
Title: Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks
Authors: Giulio Ortali, Alessandro Gabbana, Imre Atmodimedjo, Alessandro Corbetta
Subjects: Computational Physics (physics.comp-ph); Machine Learning (cs.LG); Fluid Dynamics (physics.flu-dyn)
[361]  arXiv:2405.13846 (cross-list from stat.ML) [pdf, other]
Title: Regression Trees Know Calculus
Authors: Nathan Wycoff
Comments: Comments very welcome!
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[362]  arXiv:2405.13832 (cross-list from cs.CR) [pdf, other]
Title: Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Authors: Md Shahin Ali, Md Manjurul Ahsan, Lamia Tasnim, Sadia Afrin, Koushik Biswas, Md Maruf Hossain, Md Mahfuz Ahmed, Ronok Hashan, Md Khairul Islam, Shivakumar Raman
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[363]  arXiv:2405.13818 (cross-list from eess.SY) [pdf, other]
Title: Identifiability of Differential-Algebraic Systems
Authors: Arthur N. Montanari, François Lamoline, Robert Bereza, Jorge Gonçalves
Comments: Codes available at this https URL
Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG); Dynamical Systems (math.DS); Optimization and Control (math.OC)
[364]  arXiv:2405.13805 (cross-list from eess.IV) [pdf, other]
Title: Perceptual Fairness in Image Restoration
Authors: Guy Ohayon, Michael Elad, Tomer Michaeli
Subjects: Image and Video Processing (eess.IV); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[365]  arXiv:2405.13794 (cross-list from stat.ML) [pdf, other]
Title: Conditioning diffusion models by explicit forward-backward bridging
Authors: Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
Comments: 24 pages, 12 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO); Methodology (stat.ME)
[366]  arXiv:2405.13779 (cross-list from cs.CV) [pdf, other]
Title: Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
Authors: Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Liu
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[367]  arXiv:2405.13771 (cross-list from eess.IV) [pdf, other]
Title: Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
Authors: Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[368]  arXiv:2405.13762 (cross-list from cs.CV) [pdf, other]
Title: A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
Authors: Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)
[369]  arXiv:2405.13758 (cross-list from cs.CV) [pdf, other]
Title: Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
Authors: Mohit Prabhushankar, Ghassan AlRegib
Comments: 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[370]  arXiv:2405.13757 (cross-list from eess.IV) [pdf, other]
Title: A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data
Authors: Etienne Chollet, Yael Balbastre, Caroline Magnain, Bruce Fischl, Hui Wang
Comments: 5 Pages, 2 figures. Accepted by Medical Imaging with Deep Learning
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[371]  arXiv:2405.13740 (cross-list from cs.SE) [pdf, other]
Title: Mining Action Rules for Defect Reduction Planning
Authors: Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
Subjects: Software Engineering (cs.SE); Machine Learning (cs.LG)
[372]  arXiv:2405.13735 (cross-list from eess.SY) [pdf, other]
Title: Transfer of Safety Controllers Through Learning Deep Inverse Dynamics Model
Authors: Alireza Nadali, Ashutosh Trivedi, Majid Zamani
Comments: Extended Version, submitted to 2024 ADHS
Subjects: Systems and Control (eess.SY); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[373]  arXiv:2405.13731 (cross-list from stat.ML) [pdf, other]
Title: Control, Transport and Sampling: Towards Better Loss Design
Authors: Qijia Jiang, David Nabergoj
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO)
[374]  arXiv:2405.13710 (cross-list from eess.IV) [pdf, other]
Title: Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging through Data-Centric Strategies
Authors: Amine Marzouki, Zhuxian Guo, Qinghe Zeng, Camille Kurtz, Nicolas Loménie
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[375]  arXiv:2405.13670 (cross-list from cs.SI) [pdf, ps, other]
Title: GNN-based Anomaly Detection for Encoded Network Traffic
Authors: Anasuya Chattopadhyay, Daniel Reti, Hans D. Schotten
Subjects: Social and Information Networks (cs.SI); Cryptography and Security (cs.CR); Machine Learning (cs.LG)
[376]  arXiv:2405.13640 (cross-list from cs.CL) [pdf, other]
Title: Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Authors: Ying Ma, Owen Burns, Mingqiu Wang, Gang Li, Nan Du, Laurent El Shafey, Liqiang Wang, Izhak Shafran, Hagen Soltau
Comments: 17 pages, 11 figures
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[377]  arXiv:2405.13637 (cross-list from cs.CV) [pdf, other]
Title: Curriculum Direct Preference Optimization for Diffusion and Consistency Models
Authors: Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Nicu Sebe, Mubarak Shah
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[378]  arXiv:2405.13602 (cross-list from cs.AI) [pdf, other]
Title: COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typing
Authors: Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
[379]  arXiv:2405.13587 (cross-list from stat.ML) [pdf, other]
Title: Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
Authors: Christian Holberg, Cristopher Salvi
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR)
[380]  arXiv:2405.13574 (cross-list from stat.CO) [pdf, other]
Title: Reinforcement Learning for Adaptive MCMC
Authors: Congye Wang, Wilson Chen, Heishiro Kanagawa, Chris. J. Oates
Subjects: Computation (stat.CO); Machine Learning (cs.LG)
[381]  arXiv:2405.13568 (cross-list from cs.CR) [pdf, other]
Title: CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP
Authors: Wanyu Hu, Vrizlynn L. L. Thing
Comments: International Conference on Information Systems Security and Privacy 2024
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
[382]  arXiv:2405.13541 (cross-list from cs.CL) [pdf, other]
Title: Annotation-Efficient Preference Optimization for Language Model Alignment
Authors: Yuu Jinnai, Ukyo Honda
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[383]  arXiv:2405.13516 (cross-list from cs.CL) [pdf, other]
Title: LIRE: listwise reward enhancement for preference alignment
Authors: Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao
Comments: Accepted by ACL 2024 Findings
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[384]  arXiv:2405.13515 (cross-list from quant-ph) [pdf, other]
Title: Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
Authors: Yixiong Chen, Weichuan Fang
Subjects: Quantum Physics (quant-ph); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[385]  arXiv:2405.13512 (cross-list from cs.SY) [pdf, other]
Title: Coverage Path Planning for Thermal Interface Materials
Authors: Simon Baeuerle, Andreas Steimer, Ralf Mikut
Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG)
[386]  arXiv:2405.13481 (cross-list from stat.ML) [pdf, other]
Title: Locally Private Estimation with Public Features
Authors: Yuheng Ma, Ke Jia, Hanfang Yang
Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Machine Learning (cs.LG)
[387]  arXiv:2405.13469 (cross-list from astro-ph.EP) [pdf, other]
Title: Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks
Authors: Emily O. Garvin, Markus J. Bonse, Jean Hayoz, Gabriele Cugno, Jonas Spiller, Polychronis A. Patapis, Dominique Petit Dit de la Roche, Rakesh Nath-Ranga, Olivier Absil, Nicolai F. Meinshausen, Sascha P. Quanz
Comments: 27 pages, 24 figures. Submitted for publication in A&A January 2, 2024. After first iteration with the referee, resubmitted May 17, 2024
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG); Applications (stat.AP)
[388]  arXiv:2405.13468 (cross-list from astro-ph.EP) [pdf, other]
Title: Machine learning for exoplanet detection in high-contrast spectroscopy Combining cross correlation maps and deep learning on medium-resolution integral-field spectra
Authors: Rakesh Nath-Ranga, Olivier Absil, Valentin Christiaens, Emily O. Garvin
Comments: Accepted for publication in A&A on 23/04/2024. Total 15 pages of text, 7 figures
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG); Applied Physics (physics.app-ph); Data Analysis, Statistics and Probability (physics.data-an)
[389]  arXiv:2405.13456 (cross-list from stat.ML) [pdf, other]
Title: Deep linear networks for regression are implicitly regularized towards flat minima
Authors: Pierre Marion, Lénaïc Chizat
Comments: 46 pages, 4 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[390]  arXiv:2405.13413 (cross-list from cs.IT) [pdf, other]
Title: Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks
Authors: Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No
Comments: 12 pages, 11 figures
Subjects: Information Theory (cs.IT); Machine Learning (cs.LG); Signal Processing (eess.SP)
[391]  arXiv:2405.13370 (cross-list from eess.IV) [pdf, other]
Title: Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning
Authors: Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa
Comments: IEEE ISBI 2024
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[392]  arXiv:2405.13362 (cross-list from cs.IR) [pdf, ps, other]
Title: Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
Authors: Danial Ebrat, Luis Rueda
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
[393]  arXiv:2405.13360 (cross-list from cs.CV) [pdf, other]
Title: How to Trace Latent Generative Model Generated Images without Artificial Watermark?
Authors: Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
Comments: ICML 2024
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[394]  arXiv:2405.13350 (cross-list from cs.CL) [pdf, other]
Title: Efficacy of ByteT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages
Authors: Corinne Aars, Lauren Adams, Xiaokan Tian, Zhaoyu Wang, Colton Wismer, Jason Wu, Pablo Rivas, Korn Sooksatra, Matthew Fendt
Comments: LXAI Workshop at the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[395]  arXiv:2405.13345 (cross-list from cs.RO) [pdf, other]
Title: Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
Authors: Sang-Hyun Lee, Daehyeok Kwon, Seung-Woo Seo
Comments: 8 pages, 6 figures, 2 tables, conference
Subjects: Robotics (cs.RO); Machine Learning (cs.LG)
[396]  arXiv:2405.13319 (cross-list from cs.CL) [pdf, other]
Title: ''You should probably read this'': Hedge Detection in Text
Authors: Denys Katerenchuk, Rivka Levitan
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[397]  arXiv:2405.13304 (cross-list from eess.IV) [pdf, other]
Title: Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
Authors: Muhammad Ansab Butt, Absaar Ul Jabbar
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[398]  arXiv:2405.13302 (cross-list from stat.ML) [pdf, other]
Title: Accelerated Evaluation of Ollivier-Ricci Curvature Lower Bounds: Bridging Theory and Computation
Authors: Wonwoo Kang, Heehyun Park
Subjects: Machine Learning (stat.ML); Discrete Mathematics (cs.DM); Machine Learning (cs.LG); Optimization and Control (math.OC)
[399]  arXiv:2405.13285 (cross-list from cs.CV) [pdf, ps, other]
Title: Enhancing Active Learning for Sentinel 2 Imagery through Contrastive Learning and Uncertainty Estimation
Authors: David Pogorzelski, Peter Arlinghaus
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[400]  arXiv:2405.13247 (cross-list from astro-ph.EP) [pdf, other]
Title: Improving Earth-like planet detection in radial velocity using deep learning
Authors: Yinan Zhao, Xavier Dumusque, Michael Cretignier, Andrew Collier Cameron, David W. Latham, Mercedes López-Morales, Michel Mayor, Alessandro Sozzetti, Rosario Cosentino, Isidro Gómez-Vargas, Francesco Pepe, Stephane Udry
Comments: Accepted for publication in A&A
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG)
[401]  arXiv:2405.13238 (cross-list from cs.IR) [pdf, ps, other]
Title: Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems
Authors: Peng Liu, Nian Wang, Cong Xu, Ming Zhao, Bin Wang, Yi Ren
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
[402]  arXiv:2405.13235 (cross-list from eess.IV) [pdf, other]
Title: Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
Authors: Jayroop Ramesh, Nicola K Dinsdale, the INTERGROWTH-21st Consortium, Pak-Hei Yeung, Ana IL Namburete
Comments: Early Acceptance for MICCAI 2024
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[403]  arXiv:2405.13226 (cross-list from cs.CL) [pdf, other]
Title: Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Authors: Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[404]  arXiv:2405.13209 (cross-list from cs.CL) [pdf, other]
Title: Investigating Symbolic Capabilities of Large Language Models
Authors: Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[405]  arXiv:2405.13202 (cross-list from cs.CV) [pdf, other]
Title: Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis
Authors: Nawfal Guefrachi, Hakim Ghazzai, Ahmad Alsharoa
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[406]  arXiv:2405.13181 (cross-list from cs.CL) [pdf, other]
Title: Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting
Authors: Krishna Prasad Varadarajan Srinivasan, Prasanth Gumpena, Madhusudhana Yattapu, Vishal H. Brahmbhatt
Comments: 9 pages of main paper, 1 page of references, 6 appendix pages, 11 figures, 18 tables
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[407]  arXiv:2405.13180 (cross-list from eess.SP) [pdf, other]
Title: Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
Authors: Melissa Adrian, Daniel Sanz-Alonso, Rebecca Willett
Subjects: Signal Processing (eess.SP); Machine Learning (cs.LG); Chaotic Dynamics (nlin.CD); Atmospheric and Oceanic Physics (physics.ao-ph); Applications (stat.AP)
[408]  arXiv:2405.13160 (cross-list from stat.ML) [pdf, other]
Title: Borrowing Strength in Distributionally Robust Optimization via Hierarchical Dirichlet Processes
Authors: Nicola Bariletto, Khai Nguyen, Nhat Ho
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[409]  arXiv:2405.13149 (cross-list from stat.ML) [pdf, other]
Title: Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation
Authors: Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA); Probability (math.PR); Computation (stat.CO)
[410]  arXiv:2405.13147 (cross-list from cs.CR) [pdf, other]
Title: A novel reliability attack of Physical Unclonable Functions
Authors: Gaoxiang Li, Yu Zhuang
Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG)
[411]  arXiv:2405.13140 (cross-list from math.ST) [pdf, ps, other]
Title: On Convergence of the Alternating Directions SGHMC Algorithm
Authors: Soumyadip Ghsoh, Yingdong Lu, Tomasz Nowicki
Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG); Probability (math.PR)
[412]  arXiv:2405.13135 (cross-list from cs.CL) [pdf, other]
Title: Dataset Mention Extraction in Scientific Articles Using Bi-LSTM-CRF Model
Authors: Tong Zeng, Daniel Acuna
Journal-ref: Rich Search and Discovery for Research Datasets, 2020, 158-165
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[413]  arXiv:2405.13130 (cross-list from cs.RO) [pdf, other]
Title: Pure Planning to Pure Policies and In Between with a Recursive Tree Planner
Authors: A. Norman Redlich
Comments: 30 pages, 15 figures, 3 tables
Subjects: Robotics (cs.RO); Machine Learning (cs.LG)
[414]  arXiv:2405.13102 (cross-list from cs.GT) [pdf, ps, other]
Title: Trading Volume Maximization with Online Learning
Authors: Tommaso Cesari, Roberto Colomboni
Subjects: Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG); Computational Finance (q-fin.CP)
[415]  arXiv:2405.13094 (cross-list from cs.SI) [pdf, other]
Title: KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning
Authors: Yusong Zhang, Kun Xie, Xingyi Zhang, Xiangyu Dong, Sibo Wang
Subjects: Social and Information Networks (cs.SI); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[416]  arXiv:2405.13092 (cross-list from cs.AI) [pdf, other]
Title: CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
Authors: Andreas W M Sauter, Erman Acar, Aske Plaat
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[417]  arXiv:2405.13080 (cross-list from cs.CR) [pdf, other]
Title: EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection
Authors: Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo
Comments: 18 pages, 12 figures
Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG)
[418]  arXiv:2405.13076 (cross-list from q-fin.ST) [pdf, ps, other]
Title: A K-means Algorithm for Financial Market Risk Forecasting
Authors: Jinxin Xu, Kaixian Xu, Yue Wang, Qinyan Shen, Ruisi Li
Subjects: Statistical Finance (q-fin.ST); Machine Learning (cs.LG)
[419]  arXiv:2405.13073 (cross-list from stat.ML) [pdf, other]
Title: A graph-structured distance for heterogeneous datasets with meta variables
Authors: Edward Hallé-Hannan, Charles Audet, Youssef Diouane, Sébastien Le Digabel, Paul Saves
Comments: 25 pages (without references), 5 figures, data and scripts available at this https URL
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[420]  arXiv:2405.13068 (cross-list from cs.CR) [pdf, other]
Title: Lockpicking LLMs: A Logit-Based Jailbreak Using Token-level Manipulation
Authors: Yuxi Li, Yi Liu, Yuekang Li, Ling Shi, Gelei Deng, Shengquan Chen, Kailong Wang
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[421]  arXiv:2405.13062 (cross-list from cs.CR) [pdf, other]
Title: StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
Authors: Pavlos S. Bouzinis, Panagiotis Radoglou-Grammatikis, Ioannis Makris, Thomas Lagkas, Vasileios Argyriou, Georgios Th. Papadopoulos, Panagiotis Sarigiannidis, George K. Karagiannidis
Comments: 10 pages, 8 figures
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG)
[422]  arXiv:2405.13058 (cross-list from cs.SE) [pdf, other]
Title: The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
Authors: Cailean Osborne, Jennifer Ding, Hannah Rose Kirk
Comments: 27 pages, 5 figures, 9 tables
Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)
[423]  arXiv:2405.13052 (cross-list from cs.HC) [pdf, other]
Title: Large Language Models Can Infer Personality from Free-Form User Interactions
Authors: Heinrich Peters, Moran Cerf, Sandra C. Matz
Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computers and Society (cs.CY); Machine Learning (cs.LG)
[424]  arXiv:2405.13046 (cross-list from cs.CL) [pdf, other]
Title: LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
Authors: Victor Agostinelli, Sanghyun Hong, Lizhong Chen
Comments: Submitted and accepted at ICML 2024
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[425]  arXiv:2405.13044 (cross-list from cs.CL) [pdf, other]
Title: Case-Based Reasoning Approach for Solving Financial Question Answering
Authors: Yikyung Kim, Jay-Yoon Lee
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG)
[426]  arXiv:2405.13031 (cross-list from cs.CL) [pdf, other]
Title: A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text
Authors: Jeremie Pantin, Christophe Marsala
Comments: Submitted to ECML/PKDD 2024
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[427]  arXiv:2405.13022 (cross-list from cs.CL) [pdf, other]
Title: LLMs can learn self-restraint through iterative self-reflection
Authors: Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[428]  arXiv:2405.13017 (cross-list from cs.CL) [pdf, other]
Title: A Systematic Analysis on the Temporal Generalization of Language Models in Social Media
Authors: Asahi Ushio, Jose Camacho-Collados
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[429]  arXiv:2405.13007 (cross-list from cs.CL) [pdf, other]
Title: News Recommendation with Category Description by a Large Language Model
Authors: Yuki Yada, Hayato Yamana
Comments: 5 pages, 5 figures
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG)

Wed, 22 May 2024

[430]  arXiv:2405.12981 [pdf, other]
Title: Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Authors: William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan Kelly
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[431]  arXiv:2405.12969 [pdf, other]
Title: Can We Treat Noisy Labels as Accurate?
Authors: Yuxiang Zheng, Zhongyi Han, Yilong Yin, Xin Gao, Tongliang Liu
Comments: 10 pages
Subjects: Machine Learning (cs.LG)
[432]  arXiv:2405.12961 [pdf, other]
Title: Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scale
Authors: Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran, Grant M. Rotskoff
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Chemical Physics (physics.chem-ph); Quantitative Methods (q-bio.QM)
[433]  arXiv:2405.12958 [pdf, ps, other]
Title: Online Learning of Halfspaces with Massart Noise
Authors: Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Statistics Theory (math.ST); Machine Learning (stat.ML)
[434]  arXiv:2405.12954 [pdf, other]
Title: A Method on Searching Better Activation Functions
Authors: Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang
Comments: 16 pages,3 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[435]  arXiv:2405.12952 [pdf, ps, other]
Title: Truncated Variance Reduced Value Iteration
Authors: Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Optimization and Control (math.OC)
[436]  arXiv:2405.12926 [pdf, other]
Title: Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques
Authors: Manh Khoi Duong, Stefan Conrad
Subjects: Machine Learning (cs.LG)
[437]  arXiv:2405.12888 [pdf, other]
Title: Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows
Authors: Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
Comments: Accepted to ICML 2024
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[438]  arXiv:2405.12868 [pdf, other]
Title: Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
Authors: Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang
Comments: The paper has been published to the conference of NeurIPS 2023
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[439]  arXiv:2405.12832 [pdf, other]
Title: Wav-KAN: Wavelet Kolmogorov-Arnold Networks
Authors: Zavareh Bozorgasl, Hao Chen
Comments: Work in progress
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Signal Processing (eess.SP); Machine Learning (stat.ML)
[440]  arXiv:2405.12807 [pdf, other]
Title: FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information
Authors: Dongseong Hwang
Comments: 19 pages, 1 figures, 5 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT)
[441]  arXiv:2405.12802 [pdf, other]
Title: Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
Authors: Igor Kavrakov, Gledson Rodrigo Tondo, Guido Morgenthal
Comments: 24 pages, 11 figures
Subjects: Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an)
[442]  arXiv:2405.12779 [pdf, ps, other]
Title: Transformer in Touch: A Survey
Authors: Jing Gao, Ning Cheng, Bin Fang, Wenjuan Han
Comments: 27 pages, 2 tables, 5 figures, accepted by ICIC 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[443]  arXiv:2405.12774 [pdf, ps, other]
Title: Blind Separation of Vibration Sources using Deep Learning and Deconvolution
Authors: Igor Makienko, Michael Grebshtein, Eli Gildish
Comments: 20 pages, 13 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Audio and Speech Processing (eess.AS); Signal Processing (eess.SP)
[444]  arXiv:2405.12756 [pdf, other]
Title: Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods
Authors: Ryoya Yamasaki, Toshiyuki Tanaka
Subjects: Machine Learning (cs.LG)
[445]  arXiv:2405.12755 [pdf, other]
Title: Progress Measures for Grokking on Real-world Datasets
Authors: Satvik Golechha
Comments: 5 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[446]  arXiv:2405.12739 [pdf, other]
Title: SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling
Authors: Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang
Subjects: Machine Learning (cs.LG)
[447]  arXiv:2405.12711 [pdf, other]
Title: A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition
Authors: Meng Shang, Lenore Dedeyne, Jolan Dupont, Laura Vercauteren, Nadjia Amini, Laurence Lapauw, Evelien Gielen, Sabine Verschueren, Carolina Varon, Walter De Raedt, Bart Vanrumste
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[448]  arXiv:2405.12658 [pdf, other]
Title: Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Authors: Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà
Comments: Accepted for the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024)
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[449]  arXiv:2405.12638 [pdf, ps, other]
Title: Multiscale lubrication simulation based on fourier feature networks with trainable frequency
Authors: Yihu Tang, Li Huang, Limin Wu, Xianghui Meng
Subjects: Machine Learning (cs.LG)
[450]  arXiv:2405.12615 [pdf, other]
Title: Learning Causal Dynamics Models in Object-Oriented Environments
Authors: Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
Comments: Accepted by ICML 2024. 42 Pages
Subjects: Machine Learning (cs.LG)
[451]  arXiv:2405.12590 [pdf, other]
Title: Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
Authors: Mengwei Yang, Ismat Jarin, Baturalp Buyukates, Salman Avestimehr, Athina Markopoulou
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[452]  arXiv:2405.12521 [pdf, other]
Title: Unleash Graph Neural Networks from Heavy Tuning
Authors: Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
Subjects: Machine Learning (cs.LG)
[453]  arXiv:2405.12519 [pdf, other]
Title: MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Authors: Zhaoning Yu, Hongyang Gao
Comments: arXiv admin note: text overlap with arXiv:2405.08419
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Quantitative Methods (q-bio.QM)
[454]  arXiv:2405.12502 [pdf, other]
Title: EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy
Authors: Yihong Huang, Yuang Zhang, Liping Wang, Fan Zhang, Xuemin Lin
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[455]  arXiv:2405.12500 [pdf, ps, other]
Title: Entropic associative memory for real world images
Authors: Noé Hernández, Rafael Morales, Luis A. Pineda
Subjects: Machine Learning (cs.LG)
[456]  arXiv:2405.12493 [pdf, other]
Title: Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
Authors: Xin-Chun Li, Lan Li, De-Chuan Zhan
Subjects: Machine Learning (cs.LG)
[457]  arXiv:2405.12489 [pdf, other]
Title: Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Authors: Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[458]  arXiv:2405.12475 [pdf, other]
Title: GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
Authors: Zhenwei Wang, Ruibin Bai, Fazlullah Khan, Ender Ozcan, Tiehua Zhang
Comments: 24 pages, 5figures, 4 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[459]  arXiv:2405.12474 [pdf, other]
Title: How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
Authors: Keke Huang, Yu Guang Wang, Ming Li, and Pietro Liò
Comments: arXiv admin note: substantial text overlap with arXiv:2311.18177
Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI)
[460]  arXiv:2405.12465 [pdf, other]
Title: A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
Authors: Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, Shahed Rezaei
Subjects: Machine Learning (cs.LG)
[461]  arXiv:2405.12462 [src]
Title: Boosting X-formers with Structured Matrix for Long Sequence Time Series Forecasting
Authors: Zhicheng Zhang, Yong Wang, Shaoqi Tan, Bowei Xia, Yujie Luo
Comments: We believe this work is premature and requires further study
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[462]  arXiv:2405.12459 [pdf, other]
Title: PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models
Authors: Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan
Subjects: Machine Learning (cs.LG)
[463]  arXiv:2405.12452 [pdf, other]
Title: Prompt-Enhanced Spatio-Temporal Graph Transfer Learning
Authors: Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[464]  arXiv:2405.12443 [pdf, other]
Title: FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation
Authors: Ali Karkehabadi, Houman Homayoun, Avesta Sasan
Comments: Accepted at the Great Lakes Symposium on VLSI 2024
Subjects: Machine Learning (cs.LG)
[465]  arXiv:2405.12439 [pdf, other]
Title: No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
Authors: Taihei Oki, Shinsaku Sakaue
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS)
[466]  arXiv:2405.12427 [pdf, other]
Title: Deep learning approaches to indoor wireless channel estimation for low-power communication
Authors: Samrah Arif, Muhammad Arif Khan, Sabih Ur Rehman
Subjects: Machine Learning (cs.LG)
[467]  arXiv:2405.12421 [pdf, other]
Title: A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
Authors: Kihyun Kim, Jiawei Zhang, Pablo A. Parrilo, Asuman Ozdaglar
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[468]  arXiv:2405.12412 [pdf, other]
Title: On Measuring Calibration of Discrete Probabilistic Neural Networks
Authors: Spencer Young, Porter Jenkins
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[469]  arXiv:2405.12399 [pdf, other]
Title: Diffusion for World Modeling: Visual Details Matter in Atari
Authors: Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret
Comments: 25 pages, 11 figures, 10 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
[470]  arXiv:2405.12398 [pdf, other]
Title: ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference
Authors: Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong
Comments: ICLR 2024 (v3: 21 pages, 11 figures, Project Page: this https URL)
Subjects: Machine Learning (cs.LG)
[471]  arXiv:2405.12387 [pdf, other]
Title: Conformal Counterfactual Inference under Hidden Confounding
Authors: Zonghao Chen, Ruocheng Guo, Jean-François Ton, Yang Liu
Comments: Published in SIGKDD'24
Subjects: Machine Learning (cs.LG)
[472]  arXiv:2405.12382 [pdf, other]
Title: Stochastic Reservoir Computers
Authors: Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Comments: 30 pages, 6 figures
Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Systems and Control (eess.SY); Adaptation and Self-Organizing Systems (nlin.AO); Machine Learning (stat.ML)
[473]  arXiv:2405.12380 [pdf, other]
Title: Large scale scattering using fast solvers based on neural operators
Authors: Zongren Zou, Adar Kahana, Enrui Zhang, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis
Subjects: Machine Learning (cs.LG); Computational Physics (physics.comp-ph)
[474]  arXiv:2405.12372 [pdf, other]
Title: DispaRisk: Assessing and Interpreting Disparity Risks in Datasets
Authors: Jonathan Vasquez, Carlotta Domeniconi, Huzefa Rangwala
Subjects: Machine Learning (cs.LG)
[475]  arXiv:2405.12355 [pdf, other]
Title: Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
Authors: Nathaniel Hamilton, Kyle Dunlap, Kerianne L. Hobbs
Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY)
[476]  arXiv:2405.12353 [pdf, other]
Title: TinyM$^2$Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deployment
Authors: Hasib-Al Rashid, Tinoosh Mohsenin
Comments: Accepted at AAAI 2024 Workshop SAI
Subjects: Machine Learning (cs.LG)
[477]  arXiv:2405.12340 [pdf, other]
Title: Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference
Authors: Zahra Fatemi, Jean Pouget-Abadie, Elena Zheleva
Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI)
[478]  arXiv:2405.12326 [pdf, other]
Title: Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence
Authors: José Daniel Pascual-Triana (1), Alberto Fernández (1), Javier Del Ser (1, 2 and 3), Francisco Herrera (1) ((1) Andalusian Institute of Data Science and Computational Intelligence (DASCI), University of Granada, Granada, Spain, (2) TECNALIA, Basque Research & Technology Alliance (BRTA), Derio, Spain, (3) University of the Basque Country (UPV/EHU), Bilbao, Spain)
Comments: 21 pages, 6 figures. Submitted to Information Sciences
Subjects: Machine Learning (cs.LG)
[479]  arXiv:2405.12319 [pdf, other]
Title: Dynamic Line Rating using Hyper-local Weather Predictions: A Machine Learning Approach
Authors: Henri Manninen, Markus Lippus, Georg Rute
Comments: 15 pages and planning to submit it to IEEE Access
Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY)
[480]  arXiv:2405.12312 [pdf, other]
Title: A Principled Approach for a New Bias Measure
Authors: Bruno Scarone, Alfredo Viola, Ricardo Baeza-Yates
Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY)
[481]  arXiv:2405.12308 [pdf, other]
Title: Continual Deep Reinforcement Learning for Decentralized Satellite Routing
Authors: Federico Lozano-Cuadra, Beatriz Soret, Israel Leyva-Mayorga, Petar Popovski
Comments: 30 pages, 11 figures
Subjects: Machine Learning (cs.LG); Information Theory (cs.IT)
[482]  arXiv:2405.12299 [pdf, other]
Title: Perturbing the Gradient for Alleviating Meta Overfitting
Authors: Manas Gogoi, Sambhavi Tiwari, Shekhar Verma
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
[483]  arXiv:2405.12295 [pdf, other]
Title: Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Authors: Marcin Podhajski, Jan Dubiński, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Michalak
Comments: arXiv admin note: text overlap with arXiv:2112.08331 by other authors
Subjects: Machine Learning (cs.LG)
[484]  arXiv:2405.12264 [pdf, ps, other]
Title: Directed Metric Structures arising in Large Language Models
Authors: Stéphane Gaubert, Yiannis Vlassopoulos
Subjects: Machine Learning (cs.LG); Category Theory (math.CT); Metric Geometry (math.MG)
[485]  arXiv:2405.12262 [pdf, other]
Title: Prompt Learning for Generalized Vehicle Routing
Authors: Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[486]  arXiv:2405.12261 [pdf, ps, other]
Title: EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods
Authors: Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[487]  arXiv:2405.12259 [pdf, other]
Title: Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
Authors: Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
Comments: To appear in the Proc. of the 2024 IEEE World Congress on Computational - Congress on Evolutionary Computation
Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)
[488]  arXiv:2405.12250 [pdf, other]
Title: Your Transformer is Secretly Linear
Authors: Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan Oseledets, Denis Dimitrov, Andrey Kuznetsov
Comments: 9 pages, 9 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
[489]  arXiv:2405.12241 [pdf, other]
Title: Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
Authors: Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill, Lee Sharkey
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[490]  arXiv:2405.12237 [pdf, other]
Title: EKM: An exact, polynomial-time algorithm for the $K$-medoids problem
Authors: Xi He, Max A. Little
Subjects: Machine Learning (cs.LG); Computation (stat.CO); Machine Learning (stat.ML)
[491]  arXiv:2405.12235 [pdf, ps, other]
Title: Hypergraph: A Unified and Uniform Definition with Application to Chemical Hypergraph
Authors: Daniel T. Chang
Subjects: Machine Learning (cs.LG); Quantitative Methods (q-bio.QM)
[492]  arXiv:2405.12228 [pdf, other]
Title: Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning
Authors: Haobin Zhang, Zhuang Yang
Subjects: Machine Learning (cs.LG)
[493]  arXiv:2405.12965 (cross-list from astro-ph.CO) [pdf, other]
Title: The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
Authors: Davide Piras, Alicja Polanska, Alessio Spurio Mancini, Matthew A. Price, Jason D. McEwen
Comments: 13 pages, 6 figures. Codes available at this https URL, this https URL, this https URL
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG)
[494]  arXiv:2405.12963 (cross-list from eess.IV) [pdf, ps, other]
Title: Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma
Authors: Ahmed Gomaa, Yixing Huang, Amr Hagag, Charlotte Schmitter, Daniel Höfler, Thomas Weissmann, Katharina Breininger, Manuel Schmidt, Jenny Stritzelberger, Daniel Delev, Roland Coras, Arnd Dörfler, Oliver Schnell, Benjamin Frey, Udo S. Gaipl, Sabine Semrau, Christoph Bert, Rainer Fietkau, Florian Putz
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[495]  arXiv:2405.12957 (cross-list from cs.SD) [pdf, other]
Title: Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models
Authors: Rudolf Herdt, Louisa Kinzel, Johann Georg Maaß, Marvin Walther, Henning Fröhlich, Tim Schubert, Peter Maass, Christian Patrick Schaaf
Subjects: Sound (cs.SD); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)
[496]  arXiv:2405.12946 (cross-list from cs.HC) [pdf, other]
Title: Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs
Authors: Wengxi Li, Roy Pea, Nick Haber, Hari Subramonyam
Subjects: Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
[497]  arXiv:2405.12940 (cross-list from stat.ML) [pdf, other]
Title: Learning the Infinitesimal Generator of Stochastic Diffusion Processes
Authors: Vladimir R. Kostic, Karim Lounici, Helene Halconruy, Timothee Devergne, Massimiliano Pontil
Comments: 38 pages, 3 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR)
[498]  arXiv:2405.12933 (cross-list from cs.CL) [pdf, other]
Title: Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
Authors: Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin
Comments: ACL 2024, long paper
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[499]  arXiv:2405.12930 (cross-list from cs.CV) [pdf, other]
Title: Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
Authors: Andres Hernandez, Zhongqi Miao, Luisa Vargas, Rahul Dodhia, Juan Lavista
Comments: Pytorch-Wildlife is available at this https URL
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[500]  arXiv:2405.12910 (cross-list from cs.CL) [pdf, ps, other]
Title: Topic Modelling Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment
Authors: Holli Sargeant, Ahmed Izzidien, Felix Steffek
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)
[501]  arXiv:2405.12894 (cross-list from cs.DC) [pdf, other]
Title: Decentralized Federated Learning Over Imperfect Communication Channels
Authors: Weicai Li, Tiejun Lv, Wei Ni, Jingbo Zhao, Ekram Hossain, H. Vincent Poor
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Information Theory (cs.IT); Machine Learning (cs.LG)
[502]  arXiv:2405.12892 (cross-list from cs.IR) [pdf, other]
Title: Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Authors: Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
[503]  arXiv:2405.12856 (cross-list from stat.ML) [pdf, other]
Title: LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
Authors: James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud
Subjects: Machine Learning (stat.ML); Computation and Language (cs.CL); Machine Learning (cs.LG)
[504]  arXiv:2405.12847 (cross-list from cs.IR) [pdf, other]
Title: A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability
Authors: Li-Yang Tseng, Tzu-Ling Lin, Hong-Han Shuai, Jen-Wei Huang, Wen-Whei Chang
Journal-ref: Proceedings of the 24th International Society for Music Information Retrieval Conference, 174-181. Milan, Italy, November 5-9, 2023
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)
[505]  arXiv:2405.12843 (cross-list from cs.CY) [pdf, other]
Title: OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models
Authors: Zhaojian Yu, Yinghao Wu, Zhuotao Deng, Yansong Tang, Xiao-Ping Zhang
Subjects: Computers and Society (cs.CY); Machine Learning (cs.LG)
[506]  arXiv:2405.12840 (cross-list from cs.IR) [pdf, other]
Title: GotFunding: A grant recommendation system based on scientific articles
Authors: Tong Zeng, Daniel E. Acuna
Journal-ref: Proceedings of the Association for Information Science and Technology (2020), Volume 57, Issue 1, e323
Subjects: Information Retrieval (cs.IR); Digital Libraries (cs.DL); Machine Learning (cs.LG)
[507]  arXiv:2405.12801 (cross-list from cs.CL) [pdf, other]
Title: Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval
Authors: Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee
Subjects: Computation and Language (cs.CL); Information Retrieval (cs.IR); Machine Learning (cs.LG)
[508]  arXiv:2405.12800 (cross-list from cs.RO) [pdf, other]
Title: Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
Authors: Jan-Hendrik Ewers, David Anderson, Douglas Thomson
Comments: 16 pages, 19 figures. Submitted
Subjects: Robotics (cs.RO); Machine Learning (cs.LG); Systems and Control (eess.SY)
[509]  arXiv:2405.12783 (cross-list from stat.ML) [pdf, other]
Title: Epanechnikov Variational Autoencoder
Authors: Tian Qin, Wei-Min Huang
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[510]  arXiv:2405.12781 (cross-list from cs.CV) [pdf, other]
Title: Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers
Authors: Abhiroop Talasila, Maitreya Maity, U. Deva Priyakumar
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[511]  arXiv:2405.12754 (cross-list from astro-ph.SR) [pdf, other]
Title: Neural Operator for Accelerating Coronal Magnetic Field Model
Authors: Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen
Subjects: Solar and Stellar Astrophysics (astro-ph.SR); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Space Physics (physics.space-ph)
[512]  arXiv:2405.12716 (cross-list from cs.AI) [pdf, other]
Title: Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms
Authors: Mian Ibad Ali Shah, Enda Barrett, Karl Mason
Comments: Proc. of the Main Track of 22nd International Conference on Practical Applications of Agents and Multi-Agent Systems, 26th-28th June, 2024, this https URL Includes 6 figures, 1 table and 32 references
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Multiagent Systems (cs.MA)
[513]  arXiv:2405.12705 (cross-list from cs.CV) [pdf, other]
Title: Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting
Authors: Omar Hamed, Souhail Bakkali, Marie-Francine Moens, Matthew Blaschko, Jordy Van Landeghem
Comments: Accepted at ICDAR 2024
Subjects: Computer Vision and Pattern Recognition (cs.CV); Computation and Language (cs.CL); Machine Learning (cs.LG)
[514]  arXiv:2405.12684 (cross-list from stat.ML) [pdf, ps, other]
Title: Model Free Prediction with Uncertainty Assessment
Authors: Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng Zuo
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[515]  arXiv:2405.12666 (cross-list from cs.SD) [pdf, other]
Title: SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors
Authors: Nicolas Jonason, Luca Casini, Bob L.T. Sturm
Subjects: Sound (cs.SD); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)
[516]  arXiv:2405.12612 (cross-list from cs.CL) [pdf, other]
Title: Tagengo: A Multilingual Chat Dataset
Authors: Peter Devine
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[517]  arXiv:2405.12584 (cross-list from eess.IV) [pdf, other]
Title: Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model?
Authors: Ziqin Lin, Heng Li, Zinan Li, Huazhu Fu, Jiang Liu
Comments: 10 pages, 6 figures
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[518]  arXiv:2405.12573 (cross-list from cs.RO) [pdf, other]
Title: EchoPT: A Pretrained Transformer Architecture that Predicts 2D In-Air Sonar Images for Mobile Robotics
Authors: Jan Steckel, Wouter Jansen, Nico Huebel
Subjects: Robotics (cs.RO); Machine Learning (cs.LG); Signal Processing (eess.SP); Systems and Control (eess.SY)
[519]  arXiv:2405.12553 (cross-list from stat.ML) [pdf, other]
Title: Uncertainty quantification by block bootstrap for differentially private stochastic gradient descent
Authors: Holger Dette, Carina Graw
Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Statistics Theory (math.ST); Computation (stat.CO)
[520]  arXiv:2405.12531 (cross-list from cs.CV) [pdf, other]
Title: CustomText: Customized Textual Image Generation using Diffusion Models
Authors: Shubham Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig
Comments: Accepted by AI for Content Creation (AI4CC) workshop at CVPR 2024
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[521]  arXiv:2405.12522 (cross-list from cs.CL) [pdf, other]
Title: Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Models
Authors: Charles O'Neill, Thang Bui
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
[522]  arXiv:2405.12463 (cross-list from math.OC) [pdf, other]
Title: Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge
Authors: Georgiy A. Bondar, Robert Gifford, Linh Thi Xuan Phan, Abhishek Halder
Subjects: Optimization and Control (math.OC); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Systems and Control (eess.SY); Machine Learning (stat.ML)
[523]  arXiv:2405.12456 (cross-list from eess.IV) [pdf, other]
Title: Mutual Information Analysis in Multimodal Learning Systems
Authors: Hadi Hadizadeh, S. Faegheh Yeganli, Bahador Rashidi, Ivan V. Bajić
Comments: 6 pages, 7 figures, IEEE MIPR 2024
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[524]  arXiv:2405.12424 (cross-list from cs.RO) [pdf, other]
Title: Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
Authors: Fan Shi, Chong Zhang, Takahiro Miki, Joonho Lee, Marco Hutter, Stelian Coros
Comments: RSS 2024
Subjects: Robotics (cs.RO); Machine Learning (cs.LG)
[525]  arXiv:2405.12419 (cross-list from cs.CV) [pdf, other]
Title: GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
Authors: Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
[526]  arXiv:2405.12390 (cross-list from stat.ML) [pdf, other]
Title: A Metric-based Principal Curve Approach for Learning One-dimensional Manifold
Authors: Elvis Han Cui, Sisi Shao
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Applications (stat.AP)
[527]  arXiv:2405.12386 (cross-list from stat.ML) [pdf, other]
Title: Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
Authors: Sisi Shao, Junhyung Park, Weng Kee Wong
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP); Computation (stat.CO)
[528]  arXiv:2405.12384 (cross-list from cs.CR) [pdf, other]
Title: Vulnerability Detection with Deep Learning
Authors: Zhen Huang, Amy Aumpansub
Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG)
[529]  arXiv:2405.12377 (cross-list from eess.SY) [pdf, ps, other]
Title: Spatio-temporal Attention-based Hidden Physics-informed Neural Network for Remaining Useful Life Prediction
Authors: Feilong Jiang, Xiaonan Hou, Min Xia
Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG)
[530]  arXiv:2405.12356 (cross-list from physics.bio-ph) [pdf, other]
Title: Coarse-graining conformational dynamics with multi-dimensional generalized Langevin equation: how, when, and why
Authors: Pinchen Xie, Yunrui Qiu, Weinan E
Subjects: Biological Physics (physics.bio-ph); Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Data Analysis, Statistics and Probability (physics.data-an)
[531]  arXiv:2405.12354 (cross-list from quant-ph) [pdf, other]
Title: A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
Authors: Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor
Comments: Accepted at QSW 2024
Subjects: Quantum Physics (quant-ph); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[532]  arXiv:2405.12327 (cross-list from cs.IR) [pdf, other]
Title: Diversifying by Intent in Recommender Systems
Authors: Yuyan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo, Sriraj Badam, Ed H. Chi, Minmin Chen
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
[533]  arXiv:2405.12317 (cross-list from stat.ML) [pdf, other]
Title: Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Authors: Xiucai Ding, Rong Ma
Comments: 32 pages, 5 figures; comments are welcome
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[534]  arXiv:2405.12309 (cross-list from quant-ph) [pdf, other]
Title: Accurate Learning of Equivariant Quantum Systems from a Single Ground State
Authors: Štěpán Šmíd, Roberto Bondesan
Comments: 5 pages, 3 figures
Subjects: Quantum Physics (quant-ph); Machine Learning (cs.LG)
[535]  arXiv:2405.12300 (cross-list from cond-mat.mtrl-sci) [pdf, ps, other]
Title: Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation
Authors: Yu Liu, Utkarsh Pratiush, Jason Bemis, Roger Proksch, Reece Emery, Philip D. Rack, Yu-Chen Liu, Jan-Chi Yang, Stanislav Udovenko, Susan Trolier-McKinstry, Sergei V. Kalinin
Comments: 16 pages, 7 figures
Subjects: Materials Science (cond-mat.mtrl-sci); Machine Learning (cs.LG)
[536]  arXiv:2405.12266 (cross-list from cs.CR) [pdf, other]
Title: EGAN: Evolutional GAN for Ransomware Evasion
Authors: Daniel Commey, Benjamin Appiah, Bill K. Frimpong, Isaac Osei, Ebenezer N. A. Hammond, Garth V. Crosby
Journal-ref: 2023 IEEE 48th Conference on Local Computer Networks (LCN), Daytona Beach, FL, USA, 2023, pp. 1-9
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[537]  arXiv:2405.12258 (cross-list from q-bio.QM) [pdf, ps, other]
Title: Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
Authors: Abbi Abdel-Rehim, Hector Zenil, Oghenejokpeme Orhobor, Marie Fisher, Ross J. Collins, Elizabeth Bourne, Gareth W. Fearnley, Emma Tate, Holly X. Smith, Larisa N. Soldatova, Ross D. King
Comments: 20 pages, 7 tables. Supplementary information available
Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG); Cell Behavior (q-bio.CB)
[538]  arXiv:2405.12244 (cross-list from physics.soc-ph) [pdf, ps, other]
Title: Real-Time Go-Around Prediction: A case study of JFK airport
Authors: Ke Liu, Kaijing Ding, Lu Dai, Mark Hansen, Kennis Chan, John Schade
Comments: this https URL
Journal-ref: International Conference on Research in Air Transportation (ICRAT2024)
Subjects: Physics and Society (physics.soc-ph); Machine Learning (cs.LG)
[539]  arXiv:2405.12236 (cross-list from cs.AI) [pdf, other]
Title: Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning
Authors: Maad Ebrahim, Abdelhakim Hafid
Comments: Submitted to IEEE IoTJ with 13 pages, 11 figures, and 3 tables
Subjects: Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Multiagent Systems (cs.MA)
[540]  arXiv:2405.12234 (cross-list from stat.ML) [pdf, ps, other]
Title: Joint Prediction Regions for time-series models
Authors: Eshant English, Nicola Paoletti
Comments: This work is a Master Thesis
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[541]  arXiv:2405.12225 (cross-list from q-bio.QM) [pdf, other]
Title: Unraveling the Autism spectrum heterogeneity: Insights from ABIDE I Database using data/model-driven permutation testing approaches
Authors: F.J. Alcaide, I.A. Illan, J. Ramirez, J.M. Gorriz
Comments: 54 pages, 14 figures
Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG); Image and Video Processing (eess.IV); Signal Processing (eess.SP)

Tue, 21 May 2024 (showing first 115 of 199 entries)

[542]  arXiv:2405.12207 [pdf, other]
Title: Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
Authors: Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini
Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR)
[543]  arXiv:2405.12186 [pdf, other]
Title: Training Data Attribution via Approximate Unrolled Differentiation
Authors: Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse
Subjects: Machine Learning (cs.LG)
[544]  arXiv:2405.12183 [pdf, other]
Title: Multi-order Graph Clustering with Adaptive Node-level Weight Learning
Authors: Ye Liu, Xuelei Lin, Yejia Chen, Reynold Cheng
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[545]  arXiv:2405.12179 [pdf, other]
Title: Building Temporal Kernels with Orthogonal Polynomials
Authors: Yan Ru Pei, Olivier Coenen
Comments: 16 pages, 3 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[546]  arXiv:2405.12122 [pdf, other]
Title: An Active Learning Framework with a Class Balancing Strategy for Time Series Classification
Authors: Shemonto Das
Comments: Master's thesis accepted by Memorial University of Newfoundland. Chapter 3 published in the Journal of Frontiers in Robotics and AI. Chapter 4 published in the IEEE Systems Conference 2024
Subjects: Machine Learning (cs.LG)
[547]  arXiv:2405.12096 [pdf, other]
Title: PATE: Proximity-Aware Time series anomaly Evaluation
Authors: Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax
Comments: Accepted by ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2024), Research Track. (Preprint version)
Subjects: Machine Learning (cs.LG)
[548]  arXiv:2405.12094 [pdf, other]
Title: Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
Authors: Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
Comments: 20 pages, 8 figures
Subjects: Machine Learning (cs.LG)
[549]  arXiv:2405.12087 [pdf, other]
Title: Channel Balance Interpolation in the Lightning Network via Machine Learning
Authors: Vincent, Emanuele Rossi, Vikash Singh
Subjects: Machine Learning (cs.LG)
[550]  arXiv:2405.12046 [pdf, other]
Title: Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
Authors: Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson
Comments: Submitted to IEEE journals for possible publication
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Information Theory (cs.IT); Signal Processing (eess.SP)
[551]  arXiv:2405.12038 [pdf, other]
Title: Adaptive Extraction Network for Multivariate Long Sequence Time-Series Forecasting
Authors: Dandan Zhang, Yun Wang
Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR)
[552]  arXiv:2405.12001 [pdf, other]
Title: Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning
Authors: Hai Zhang, Boyuan Zheng, Anqi Guo, Tianying Ji, Pheng-Ann Heng, Junqiao Zhao, Lanqing Li
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[553]  arXiv:2405.11982 [pdf, other]
Title: Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
Authors: Qianmei Liu, Yufei Kuang, Jie Wang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[554]  arXiv:2405.11968 [pdf, other]
Title: Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Authors: S. Akansha
Comments: 11 pages, 4 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[555]  arXiv:2405.11958 [pdf, other]
Title: Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
Authors: Eduard Barbu, Marharytha Domnich, Raul Vicente, Nikos Sakkas, André Morim
Subjects: Machine Learning (cs.LG); Human-Computer Interaction (cs.HC)
[556]  arXiv:2405.11951 [pdf, other]
Title: Distinguished In Uniform: Self Attention Vs. Virtual Nodes
Authors: Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe
Journal-ref: The Twelfth International Conference on Learning Representations (2024)
Subjects: Machine Learning (cs.LG)
[557]  arXiv:2405.11930 [pdf, other]
Title: Data Contamination Calibration for Black-box LLMs
Authors: Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao
Subjects: Machine Learning (cs.LG)
[558]  arXiv:2405.11919 [pdf, other]
Title: On Efficient and Statistical Quality Estimation for Data Annotation
Authors: Jan-Christoph Klie, Rahul Nair, Juan Haladjian, Marc Kirchner
Comments: Accepted to ACL 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
[559]  arXiv:2405.11916 [pdf, ps, other]
Title: Information Leakage from Embedding in Large Language Models
Authors: Zhipeng Wan, Anda Cheng, Yinggui Wang, Lei Wang
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)
[560]  arXiv:2405.11907 [pdf, other]
Title: Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Authors: Ramansh Sharma, Varun Shankar
Subjects: Machine Learning (cs.LG)
[561]  arXiv:2405.11895 [pdf, other]
Title: Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins
Authors: Yanlei Yin, Lihua Wang, Wenbo Wang, Dinh Thai Hoang
Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY)
[562]  arXiv:2405.11884 [pdf, other]
Title: Vertical Federated Learning Hybrid Local Pre-training
Authors: Wenguo Li, Xinling Guo, Xu Jiao, Tiancheng Huang, Xiaoran Yan, Yao Yang
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[563]  arXiv:2405.11881 [pdf, other]
Title: Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Authors: Alvin Heng, Alexandre H. Thiery, Harold Soh
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[564]  arXiv:2405.11880 [pdf, other]
Title: Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs
Authors: Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
[565]  arXiv:2405.11868 [pdf, other]
Title: Towards Graph Contrastive Learning: A Survey and Beyond
Authors: Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE); Information Retrieval (cs.IR); Social and Information Networks (cs.SI)
[566]  arXiv:2405.11829 [pdf, other]
Title: Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Authors: Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[567]  arXiv:2405.11828 [pdf, other]
Title: Federated Learning with Incomplete Sensing Modalities
Authors: Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin, Sung-Ju Lee
Subjects: Machine Learning (cs.LG)
[568]  arXiv:2405.11821 [pdf, ps, other]
Title: A Three-Phase Analysis of Synergistic Effects During Co-pyrolysis of Algae and Wood for Biochar Yield Using Machine Learning
Authors: Subhadeep Chakrabarti, Saish Shinde
Comments: 6 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[569]  arXiv:2405.11811 [pdf, other]
Title: FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning
Authors: Liuzhi Zhou, Yu He, Kun Zhai, Xiang Liu, Sen Liu, Xingjun Ma, Guangnan Ye, Yu-Gang Jiang, Hongfeng Chai
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[570]  arXiv:2405.11801 [pdf, other]
Title: LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
Authors: Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu
Comments: Accepted by ICML24, 26 pages
Subjects: Machine Learning (cs.LG)
[571]  arXiv:2405.11788 [pdf, other]
Title: TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models
Authors: Junlong Jia, Ying Hu, Xi Weng, Yiming Shi, Miao Li, Xingjian Zhang, Baichuan Zhou, Ziyu Liu, Jie Luo, Lei Huang, Ji Wu
Comments: Our codebase is made public at this https URL with documentation available at this https URL
Subjects: Machine Learning (cs.LG)
[572]  arXiv:2405.11784 [pdf, other]
Title: Reward-Punishment Reinforcement Learning with Maximum Entropy
Authors: Jiexin Wang, Eiji Uchibe
Comments: IJCNN2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO)
[573]  arXiv:2405.11783 [pdf, ps, other]
Title: Inverse Design of Metal-Organic Frameworks Using Quantum Natural Language Processing
Authors: Shinyoung Kang, Jihan Kim
Comments: 45 pages, 7 figures, 6 supplementary figures, 1 table, 1 supplementary table
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Quantum Physics (quant-ph)
[574]  arXiv:2405.11778 [pdf, other]
Title: Efficient Multi-agent Reinforcement Learning by Planning
Authors: Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang
Comments: ICLR2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)
[575]  arXiv:2405.11762 [pdf, ps, other]
Title: Uncertainty of interpretability in Landslide Susceptibility Mapping: A Comparative Analysis of Statistical, Machine Learning, and Deep Learning Models
Authors: Cheng Chen, Lei Fan
Subjects: Machine Learning (cs.LG)
[576]  arXiv:2405.11758 [pdf, other]
Title: Fed-Credit: Robust Federated Learning with Credibility Management
Authors: Jiayan Chen, Zhirong Qian, Tianhui Meng, Xitong Gao, Tian Wang, Weijia Jia
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[577]  arXiv:2405.11756 [pdf, other]
Title: Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Authors: Kai Gan, Tong Wei
Comments: Accepted to ICML 2024
Subjects: Machine Learning (cs.LG)
[578]  arXiv:2405.11743 [pdf, other]
Title: A General Theory for Compositional Generalization
Authors: Jingwen Fu, Zhizheng Zhang, Yan Lu, Nanning Zheng
Subjects: Machine Learning (cs.LG)
[579]  arXiv:2405.11740 [pdf, other]
Title: Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Authors: Xin Liu, Yaran Chen, Dongbin Zhao
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[580]  arXiv:2405.11739 [pdf, ps, other]
Title: Contactless Polysomnography: What Radio Waves Tell Us about Sleep
Authors: Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, Brandon Westover, Dina Katabi
Comments: The first two authors contributed equally to this work
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
[581]  arXiv:2405.11730 [pdf, ps, other]
Title: Degree of Irrationality: Sentiment and Implied Volatility Surface
Authors: Jiahao Weng, Yan Xie
Comments: 21 pages, 8 figures
Subjects: Machine Learning (cs.LG); General Finance (q-fin.GN)
[582]  arXiv:2405.11727 [pdf, other]
Title: Highway Graph to Accelerate Reinforcement Learning
Authors: Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Q. Shi
Comments: 28 pages, 17 figures, 3 tables, TMLR
Subjects: Machine Learning (cs.LG)
[583]  arXiv:2405.11718 [pdf, other]
Title: Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Authors: Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao
Comments: ICML 2024
Subjects: Machine Learning (cs.LG)
[584]  arXiv:2405.11708 [pdf, other]
Title: Adaptive Batch Normalization Networks for Adversarial Robustness
Authors: Shao-Yuan Lo, Vishal M. Patel
Comments: Accepted at IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) 2024
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[585]  arXiv:2405.11704 [pdf, ps, other]
Title: Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
Authors: Taiyuan Mei, Yun Zi, Xiaohan Cheng, Zijun Gao, Qi Wang, Haowei Yang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[586]  arXiv:2405.11703 [pdf, other]
Title: QComp: A QSAR-Based Data Completion Framework for Drug Discovery
Authors: Bingjia Yang, Yunsie Chung, Archer Y. Yang, Bo Yuan, Xiang Yu
Subjects: Machine Learning (cs.LG)
[587]  arXiv:2405.11696 [pdf, other]
Title: Approximation and Gradient Descent Training with Neural Networks
Authors: G. Welper
Subjects: Machine Learning (cs.LG)
[588]  arXiv:2405.11684 [pdf, other]
Title: Learning Regularities from Data using Spiking Functions: A Theory
Authors: Canlin Zhang, Xiuwen Liu
Subjects: Machine Learning (cs.LG); Information Theory (cs.IT)
[589]  arXiv:2405.11683 [pdf, other]
Title: Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
Authors: Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn
Comments: 23 pages, 2 figures, ICML
Subjects: Machine Learning (cs.LG)
[590]  arXiv:2405.11672 [pdf, ps, other]
Title: Interpretable Machine Learning Enhances Disease Prognosis: Applications on COVID-19 and Onward
Authors: Jinzhi Shen, Ke Ma
Subjects: Machine Learning (cs.LG)
[591]  arXiv:2405.11669 [pdf, other]
Title: Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning
Authors: Sean Vaskov, Wilko Schwarting, Chris L. Baker
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[592]  arXiv:2405.11667 [pdf, other]
Title: The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
Authors: Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Optimization and Control (math.OC); Machine Learning (stat.ML)
[593]  arXiv:2405.11657 [pdf, other]
Title: On the Expressivity of Recurrent Neural Cascades with Identity
Authors: Nadezda A. Knorozova, Alessandro Ronca
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Formal Languages and Automata Theory (cs.FL); Logic in Computer Science (cs.LO); Neural and Evolutionary Computing (cs.NE)
[594]  arXiv:2405.11651 [pdf, other]
Title: Movie Revenue Prediction using Machine Learning Models
Authors: Vikranth Udandarao, Pratyush Gupta
Comments: for associated code base, see this https URL
Subjects: Machine Learning (cs.LG)
[595]  arXiv:2405.11633 [pdf, other]
Title: Geometry-Aware Instrumental Variable Regression
Authors: Heiner Kremer, Bernhard Schölkopf
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[596]  arXiv:2405.11619 [pdf, ps, other]
Title: Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection
Authors: Abdulla Al-Subaiey, Mohammed Al-Thani, Naser Abdullah Alam, Kaniz Fatema Antora, Amith Khandakar, SM Ashfaq Uz Zaman
Comments: 19 pages, 7 figures, dataset link: this https URL
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[597]  arXiv:2405.11605 [pdf, other]
Title: Switched Flow Matching: Eliminating Singularities via Switching ODEs
Authors: Qunxi Zhu, Wei Lin
Comments: Accepted in ICML 2024
Subjects: Machine Learning (cs.LG)
[598]  arXiv:2405.11601 [pdf, ps, other]
Title: How to integrate cloud service, data analytic and machine learning technique to reduce cyber risks associated with the modern cloud based infrastructure
Authors: Upakar Bhatta
Comments: 15 pages with six figures
Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE)
[599]  arXiv:2405.11590 [pdf, other]
Title: Global Convergence of Decentralized Retraction-Free Optimization on the Stiefel Manifold
Authors: Youbang Sun, Shixiang Chen, Alfredo Garcia, Shahin Shahrampour
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[600]  arXiv:2405.11573 [pdf, other]
Title: Quantile Activation: departing from single point estimation for better generalization across distortions
Authors: Aditya Challa, Sravan Danda, Laurent Najman, Snehanshu Saha
Subjects: Machine Learning (cs.LG)
[601]  arXiv:2405.11566 [pdf, other]
Title: Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models
Authors: Omer Belhasin, Idan Kligvasser, George Leifman, Regev Cohen, Erin Rainaldi, Li-Fang Cheng, Nishant Verma, Paul Varghese, Ehud Rivlin, Michael Elad
Subjects: Machine Learning (cs.LG)
[602]  arXiv:2405.11548 [pdf, other]
Title: Adaptive Online Experimental Design for Causal Discovery
Authors: Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi
Comments: To appear in Proceedings of ICML 24
Subjects: Machine Learning (cs.LG); Applications (stat.AP)
[603]  arXiv:2405.11542 [pdf, other]
Title: From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
Authors: Xin Li, Jingdong Zhang, Qunxi Zhu, Chengli Zhao, Xue Zhang, Xiaojun Duan, Wei Lin
Subjects: Machine Learning (cs.LG); Physics Education (physics.ed-ph)
[604]  arXiv:2405.11533 [pdf, other]
Title: Hierarchical Selective Classification
Authors: Shani Goren, Ido Galil, Ran El-Yaniv
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[605]  arXiv:2405.11530 [pdf, other]
Title: Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Authors: Sejik Park
Comments: 12 pages, 3 figures
Subjects: Machine Learning (cs.LG)
[606]  arXiv:2405.11525 [pdf, other]
Title: Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Authors: Chun-Yin Huang, Kartik Srinivas, Xin Zhang, Xiaoxiao Li
Comments: Paper Accepted at ICML 2024, 23 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[607]  arXiv:2405.11500 [pdf, other]
Title: Interpreting a Semantic Segmentation Model for Coastline Detection
Authors: Conor O'Sullivan, Seamus Coveney, Xavier Monteys, Soumyabrata Dev
Journal-ref: 2023 Photonics & Electromagnetics Research Symposium (PIERS)
Subjects: Machine Learning (cs.LG)
[608]  arXiv:2405.11470 [pdf, other]
Title: VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
Authors: Yingnan Yang, Qingling Zhu, Jianyong Chen
Comments: 16 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[609]  arXiv:2405.11454 [pdf, ps, other]
Title: Comparisons Are All You Need for Optimizing Smooth Functions
Authors: Chenyi Zhang, Tongyang Li
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Optimization and Control (math.OC)
[610]  arXiv:2405.11449 [pdf, other]
Title: NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
Authors: Tongze Wang, Xiaohui Xie, Wenduo Wang, Chuyi Wang, Youjian Zhao, Yong Cui
Subjects: Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI)
[611]  arXiv:2405.11432 [pdf, other]
Title: On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Authors: Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY)
[612]  arXiv:2405.11431 [pdf, other]
Title: Review of deep learning models for crypto price prediction: implementation and evaluation
Authors: Jingyang Wu, Xinyi Zhang, Fangyixuan Huang, Haochen Zhou, Rohtiash Chandra
Subjects: Machine Learning (cs.LG); Statistical Finance (q-fin.ST); Machine Learning (stat.ML)
[613]  arXiv:2405.11417 [pdf, other]
Title: Budgeted Recommendation with Delayed Feedback
Authors: Kweiguu Liu, Setareh Maghsudi
Subjects: Machine Learning (cs.LG)
[614]  arXiv:2405.11416 [pdf, other]
Title: Discrete-state Continuous-time Diffusion for Graph Generation
Authors: Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
Subjects: Machine Learning (cs.LG)
[615]  arXiv:2405.11397 [pdf, other]
Title: Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Authors: Ming Jin
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Systems and Control (eess.SY)
[616]  arXiv:2405.11389 [pdf, other]
Title: Adjacent Leader Decentralized Stochastic Gradient Descent
Authors: Haoze He, Jing Wang, Anna Choromanska
Comments: 9 pages of main paper, and 12 pages of appendix
Subjects: Machine Learning (cs.LG)
[617]  arXiv:2405.11383 [pdf, ps, other]
Title: Investigating KAN-Based Physics-Informed Neural Networks for EMI/EMC Simulations
Authors: Kun Qian, Mohamed Kheir
Comments: 8 pages
Subjects: Machine Learning (cs.LG)
[618]  arXiv:2405.11372 [pdf, other]
Title: ReModels: Quantile Regression Averaging models
Authors: Grzegorz Zakrzewski, Kacper Skonieczka, Mikołaj Małkiński, Jacek Mańdziuk
Subjects: Machine Learning (cs.LG)
[619]  arXiv:2405.11349 [pdf, other]
Title: Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection
Authors: Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Shenghao Wu, Kay Chen Tan
Subjects: Machine Learning (cs.LG)
[620]  arXiv:2405.11344 [pdf, ps, other]
Title: Improved Content Understanding With Effective Use of Multi-task Contrastive Learning
Authors: Akanksha Bindal, Sudarshan Ramanujam, Dave Golland, TJ Hazen, Tina Jiang, Fengyu Zhang, Peng Yan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[621]  arXiv:2405.11333 [pdf, other]
Title: GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
Authors: Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
Comments: Accepted by KDD 2024 (Research track)
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[622]  arXiv:2405.11331 [pdf, other]
Title: Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks
Authors: Zijiang Yan, Hina Tabassum
Comments: 13 pages, 5 figures. Submission for possible publication
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Networking and Internet Architecture (cs.NI)
[623]  arXiv:2405.11326 [pdf, other]
Title: On the Trajectory Regularity of ODE-based Diffusion Sampling
Authors: Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu
Comments: ICML 2024, 30 pages
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[624]  arXiv:2405.11320 [pdf, other]
Title: Sampling Strategies for Mitigating Bias in Face Synthesis Methods
Authors: Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis, Christos Diou
Comments: Accepted to the BIAS 2023 ECML-PKDD Workshop
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[625]  arXiv:2405.11318 [pdf, other]
Title: Smooth Kolmogorov Arnold networks enabling structural knowledge representation
Authors: Moein E. Samadi, Younes Müller, Andreas Schuppert
Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[626]  arXiv:2405.11311 [pdf, ps, other]
Title: A Dual Power Grid Cascading Failure Model for the Vulnerability Analysis
Authors: Tianxin Zhou, Xiang Li, Haibing Lu
Subjects: Machine Learning (cs.LG); Emerging Technologies (cs.ET)
[627]  arXiv:2405.11280 [pdf, other]
Title: Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities
Authors: Marianne Arriola, Weishen Pan, Manqi Zhou, Qiannan Zhang, Chang Su, Fei Wang
Comments: 10 pages, 7 figures, 5 tables
Subjects: Machine Learning (cs.LG)
[628]  arXiv:2405.11275 [pdf, other]
Title: Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP
Authors: Qiqi Su, Eleftheria Iliadou
Journal-ref: In 16th SITIS, pp. 308-315. IEEE, 2022
Subjects: Machine Learning (cs.LG)
[629]  arXiv:2405.11238 [pdf, other]
Title: SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection
Authors: Zhijie Zhong, Zhiwen Yu, Xing Xi, Yue Xu, Jiahui Chen, Kaixiang Yang
Comments: 18 pages, 12 figures,7 tables, Under review
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[630]  arXiv:2405.11230 [pdf, other]
Title: OTLP: Output Thresholding Using Mixed Integer Linear Programming
Authors: Baran Koseoglu, Luca Traverso, Mohammed Topiwalla, Egor Kraev, Zoltan Szopory
Comments: 15 pages, 8 figures
Subjects: Machine Learning (cs.LG)
[631]  arXiv:2405.11226 [pdf, ps, other]
Title: The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
Authors: Ruitao Chen, Liwei Wang
Subjects: Machine Learning (cs.LG)
[632]  arXiv:2405.11206 [pdf, other]
Title: Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
Authors: Thanh Nguyen, Tung M. Luu, Tri Ton, Chang D. Yoo
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO)
[633]  arXiv:2405.11204 [pdf, other]
Title: Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling
Authors: Yuwei Cheng, Fan Yao, Xuefeng Liu, Haifeng Xu
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[634]  arXiv:2405.11195 [pdf, other]
Title: Trustworthy Actionable Perturbations
Authors: Jesse Friedbaum, Sudarshan Adiga, Ravi Tandon
Comments: Accepted at the 41st International Conference on Machine Learning (ICML) 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT)
[635]  arXiv:2405.11188 [pdf, other]
Title: Wind Power Prediction across Different Locations using Deep Domain Adaptive Learning
Authors: Md Saiful Islam Sajol, Md Shazid Islam, A S M Jahid Hasan, Md Saydur Rahman, Jubair Yusuf
Subjects: Machine Learning (cs.LG)
[636]  arXiv:2405.11171 [pdf, other]
Title: Graph Feedback Bandits with Similar Arms
Authors: Han Qi, Guo Fei, Li Zhu
Subjects: Machine Learning (cs.LG)
[637]  arXiv:2405.11157 [pdf, other]
Title: Towards Modular LLMs by Building and Reusing a Library of LoRAs
Authors: Oleksiy Ostapenko, Zhan Su, Edoardo Maria Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[638]  arXiv:2405.11124 [pdf, other]
Title: AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
Authors: Han Yu, Peikun Guo, Akane Sano
Subjects: Machine Learning (cs.LG)
[639]  arXiv:2405.11095 [pdf, other]
Title: Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance
Authors: Alexander Stollenwerk, Laurent Jacques
Comments: 20 pages
Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Optimization and Control (math.OC)
[640]  arXiv:2405.11059 [pdf, other]
Title: Frugal Algorithm Selection
Authors: Erdem Kuş, Özgür Akgün, Nguyen Dang, Ian Miguel
Comments: 7 pages + references + appendix
Subjects: Machine Learning (cs.LG)
[641]  arXiv:2405.11034 [pdf, other]
Title: Safety in Graph Machine Learning: Threats and Safeguards
Authors: Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
Comments: 20 pages
Subjects: Machine Learning (cs.LG)
[642]  arXiv:2405.11029 [pdf, other]
Title: Generative Artificial Intelligence: A Systematic Review and Applications
Authors: Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, Fiona Carroll
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
[643]  arXiv:2405.11024 [pdf, other]
Title: GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
Authors: Zhanguang Zhang, Didier Chetelat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
Comments: Accepted by KDD 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[644]  arXiv:2405.11013 [pdf, other]
Title: ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting
Authors: Praveen Kumar, Priyadarshni, Rajiv Misra
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[645]  arXiv:2405.11008 [pdf, ps, other]
Title: A Systematic Review and Meta-Analysis on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence
Authors: Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md. Mehedi Hasan Shawon
Comments: 40 pages, 11 Figures, 8 Tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[646]  arXiv:2405.11007 [pdf, other]
Title: Generative modeling of Sparse Approximate Inverse Preconditioners
Authors: Mou Li, He Wang, Peter K. Jimack
Comments: 15 pages, 8 figures, International conference on Computational Science
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[647]  arXiv:2405.11002 [pdf, other]
Title: Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection
Authors: Han Zhang, Akram Bin Sediq, Ali Afana, Melike Erol-Kantarci
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
[648]  arXiv:2405.10999 [pdf, other]
Title: Large Language Models for Tuning Evolution Strategies
Authors: Oliver Kramer
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Neural and Evolutionary Computing (cs.NE)
[649]  arXiv:2405.10995 [pdf, other]
Title: Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
Authors: Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner
Comments: 18 pages, 7 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[650]  arXiv:2405.10992 [pdf, other]
Title: Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
Authors: Chen Chen, Ruizhe Li, Yuchen Hu, Yuanyuan Chen, Chengwei Qin, Qiang Zhang
Comments: ACL 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[651]  arXiv:2405.10991 [pdf, other]
Title: Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
Authors: Jiarui Zhang, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME)
[652]  arXiv:2405.10989 [pdf, other]
Title: Learnable Privacy Neurons Localization in Language Models
Authors: Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu
Comments: ACL 2024 main conference
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Cryptography and Security (cs.CR)
[653]  arXiv:2405.10988 [pdf, other]
Title: Flow Score Distillation for Diverse Text-to-3D Generation
Authors: Runjie Yan, Kailu Wu, Kaisheng Ma
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[654]  arXiv:2405.10987 [pdf, other]
Title: Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance
Authors: Huibing Wang, Mingze Yao, Yawei Chen, Yunqiu Xu, Haipeng Liu, Wei Jia, Xianping Fu, Yang Wang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[655]  arXiv:2405.10976 [pdf, other]
Title: On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting
Authors: Takushi Yoshikawa, Ryoji Tanabe
Comments: Accepted for GECCO 2024 Workshop Industrial Applications of Metaheuristics
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[656]  arXiv:2405.10970 [pdf, other]
Title: Untargeted Adversarial Attack on Knowledge Graph Embeddings
Authors: Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu
Comments: Accepted by SIGIR 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
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