Machine Learning

Authors and titles for recent submissions, skipping first 150

• Fri, 17 May 2024
• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024

Thu, 16 May 2024 (continued, showing 50 of 89 entries)

[151]  arXiv:2405.08917 [pdf, other]

Title: Feature Importance and Explainability in Quantum Machine Learning

Authors: Luke Power, Krishnendu Guha

Comments: Amended final year project. 23 pages

Subjects: Machine Learning (cs.LG); Quantum Algebra (math.QA); Machine Learning (stat.ML)

[152]  arXiv:2405.08892 [pdf, other]

Title: RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing

Authors: Aref Miri Rekavandi, Olga Ohrimenko, Benjamin I.P. Rubinstein

Subjects: Machine Learning (cs.LG)

[153]  arXiv:2405.08886 [pdf, other]

Title: The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks

Authors: Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan

Comments: ICML2024

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[154]  arXiv:2405.08852 [pdf, other]

Title: A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features

Authors: Hao Wang, Nao Li

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)

[155]  arXiv:2405.08843 [pdf, other]

Title: FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning

Authors: Duc Thinh Ngo (STACK), Kandaraj Piamrat (LS2N, STACK), Ons Aouedi, Thomas Hassan, Philippe Raipin-Parvédy

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Networking and Internet Architecture (cs.NI)

[156]  arXiv:2405.08842 [pdf, other]

Title: Automated Deep Learning for Load Forecasting

Authors: Julie Keisler (CRIStAL, EDF R\&D OSIRIS, EDF R\&D), Sandra Claudel, Gilles Cabriel, Margaux Brégère

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)

[157]  arXiv:2405.08834 [pdf, other]

Title: Adversarial Machine Learning Threats to Spacecraft

Authors: Rajiv Thummala, Shristi Sharma, Matteo Calabrese, Gregory Falco

Comments: Preprint

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)

[158]  arXiv:2405.09545 (cross-list from cs.ET) [pdf, other]

Title: Intrinsic Voltage Offsets in Memcapacitive Bio-Membranes Enable High-Performance Physical Reservoir Computing

Authors: Ahmed S. Mohamed, Anurag Dhungel, Md Sakib Hasan, Joseph S. Najem

Comments: Supplementary Information is included under the main text

Subjects: Emerging Technologies (cs.ET); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[159]  arXiv:2405.09543 (cross-list from cs.CY) [pdf, other]

Title: Algorithmic Fairness: A Tolerance Perspective

Authors: Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang

Comments: 33 pages, 4 figures

Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG)

[160]  arXiv:2405.09542 (cross-list from cs.ET) [pdf, other]

Title: Hybrid Magnonic Reservoir Computing

Authors: Cliff B. Abbott, Dmytro A. Bozhko

Subjects: Emerging Technologies (cs.ET); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG); Applied Physics (physics.app-ph)

[161]  arXiv:2405.09541 (cross-list from stat.ML) [pdf, other]

Title: Spectral complexity of deep neural networks

Authors: Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano Vigogna

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR)

[162]  arXiv:2405.09536 (cross-list from stat.ME) [pdf, other]

Title: Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression

Authors: Takuo Matsubara

Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Machine Learning (stat.ML)

[163]  arXiv:2405.09535 (cross-list from cond-mat.dis-nn) [pdf, other]

Title: Restoring balance: principled under/oversampling of data for optimal classification

Authors: Emanuele Loffredo, Mauro Pastore, Simona Cocco, Rémi Monasson

Comments: 9 pages + appendix, 3 figures

Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG)

[164]  arXiv:2405.09530 (cross-list from cs.CY) [pdf, other]

Title: A community palm model

Authors: Nicholas Clinton, Andreas Vollrath, Remi D'annunzio, Desheng Liu, Henry B. Glick, Adrià Descals, Alicia Sullivan, Oliver Guinan, Jacob Abramowitz, Fred Stolle, Chris Goodman, Tanya Birch, David Quinn, Olga Danylo, Tijs Lips, Daniel Coelho, Enikoe Bihari, Bryce Cronkite-Ratcliff, Ate Poortinga, Atena Haghighattalab, Evan Notman, Michael DeWitt, Aaron Yonas, Gennadii Donchyts, Devaja Shah, David Saah, Karis Tenneson, Nguyen Hanh Quyen, Megha Verma, Andrew Wilcox

Comments: v0

Subjects: Computers and Society (cs.CY); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[165]  arXiv:2405.09529 (cross-list from cs.CY) [pdf, ps, other]

Title: Artificial Intelligence for the Internal Democracy of Political Parties

Authors: Claudio Novelli, Giuliano Formisano, Prathm Juneja, Giulia Sandri, Luciano Floridi

Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Databases (cs.DB); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[166]  arXiv:2405.09525 (cross-list from quant-ph) [pdf, ps, other]

Title: Improved classical shadows from local symmetries in the Schur basis

Authors: Daniel Grier, Sihan Liu, Gaurav Mahajan

Subjects: Quantum Physics (quant-ph); Data Structures and Algorithms (cs.DS); Information Theory (cs.IT); Machine Learning (cs.LG)

[167]  arXiv:2405.09522 (cross-list from cs.GR) [pdf, other]

Title: ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations

Authors: Artur Grigorev, Giorgio Becherini, Michael J. Black, Otmar Hilliges, Bernhard Thomaszewski

Comments: Accepted for publication by SIGGRAPH 2024, conference track

Subjects: Graphics (cs.GR); Machine Learning (cs.LG)

[168]  arXiv:2405.09516 (cross-list from stat.ML) [pdf, other]

Title: Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis

Authors: Daniel Csillag, Claudio José Struchiner, Guilherme Tegoni Goedert

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[169]  arXiv:2405.09514 (cross-list from eess.SP) [pdf, other]

Title: Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck

Authors: Hongru Li, Jiawei Shao, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

Comments: 13 pages, 8 figures, submitted to IEEE for potential publication

Subjects: Signal Processing (eess.SP); Information Theory (cs.IT); Machine Learning (cs.LG)

[170]  arXiv:2405.09508 (cross-list from cs.CL) [pdf, other]

Title: Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming

Authors: Bushi Xiao, Chao Gao, Demi Zhang

Comments: 9 pages, 6 figures

Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)

[171]  arXiv:2405.09493 (cross-list from stat.ML) [pdf, ps, other]

Title: Constrained Learning for Causal Inference and Semiparametric Statistics

Authors: Tiffany Tianhui Cai, Yuri Fonseca, Kaiwen Hou, Hongseok Namkoong

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[172]  arXiv:2405.09470 (cross-list from cs.SD) [pdf, other]

Title: Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer

Authors: Weifei Jin, Yuxin Cao, Junjie Su, Qi Shen, Kai Ye, Derui Wang, Jie Hao, Ziyao Liu

Comments: Accepted to SecTL (AsiaCCS Workshop) 2024

Subjects: Sound (cs.SD); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)

[173]  arXiv:2405.09412 (cross-list from cs.CR) [pdf, other]

Title: Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis

Authors: Pitpimon Choorod, Tobias J. Bauer, Andreas Aßmuth

Comments: 5 pages

Journal-ref: Proc of the 15th International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2024), Venice, Italy, May 2024, pp. 8-12, ISSN 2308-4294

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI)

[174]  arXiv:2405.09362 (cross-list from stat.ML) [pdf, other]

Title: On the Saturation Effect of Kernel Ridge Regression

Authors: Yicheng Li, Haobo Zhang, Qian Lin

Comments: ICLR 2023; Minor errors are corrected in this version

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[175]  arXiv:2405.09324 (cross-list from math.NA) [pdf, other]

Title: Learning Coarse-Grained Dynamics on Graph

Authors: Yin Yu, John Harlim, Daning Huang, Yan Li

Comments: 33 pages, 12 figures

Subjects: Numerical Analysis (math.NA); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG)

[176]  arXiv:2405.09321 (cross-list from cs.CV) [pdf, other]

Title: ReconBoost: Boosting Can Achieve Modality Reconcilement

Authors: Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang

Comments: This paper has been accepted by ICML2024

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Multimedia (cs.MM)

[177]  arXiv:2405.09318 (cross-list from cs.CR) [pdf, other]

Title: Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls

Authors: Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez

Comments: Submitted to IEEE MILCOM 2024

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG)

[178]  arXiv:2405.09247 (cross-list from cs.CV) [pdf, other]

Title: Graph Neural Network based Handwritten Trajectories Recognition

Authors: Anuj Sharma, Sukhdeep Singh, S Ratna

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[179]  arXiv:2405.09244 (cross-list from astro-ph.EP) [pdf, other]

Title: NeuralCMS: A deep learning approach to study Jupiter's interior

Authors: Maayan Ziv, Eli Galanti, Amir Sheffer, Saburo Howard, Tristan Guillot, Yohai Kaspi

Comments: 8 pages, 6 figures, 4 tables, 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)

[180]  arXiv:2405.09224 (cross-list from cs.SD) [pdf, other]

Title: Perception-Inspired Graph Convolution for Music Understanding Tasks

Authors: Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer

Comments: Accepted at the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24)

Subjects: Sound (cs.SD); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)

[181]  arXiv:2405.09221 (cross-list from cs.CL) [pdf, ps, other]

Title: Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional models for homophobic content identification on X/Twitter

Authors: Josh McGiff, Nikola S. Nikolov

Comments: 6 pages, Homophobia detection model available at: this https URL The dataset used for this study is available at: this https URL - This paper has been accepted by the 6th International Conference on Computing and Data Science (CONF-CDS 2024)

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[182]  arXiv:2405.09212 (cross-list from cs.RO) [pdf, other]

Title: SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics

Authors: Yifan Liu, You Wang, Guang Li

Subjects: Robotics (cs.RO); Machine Learning (cs.LG)

[183]  arXiv:2405.09153 (cross-list from cs.CL) [pdf, other]

Title: Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser

Authors: Jon Z. Cai, Kristin Wright-Bettner, Martha Palmer, Guergana K. Savova, James H. Martin

Comments: Accepted to the 6th Clinical NLP Workshop at NAACL, 2024

Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)

[184]  arXiv:2405.09118 (cross-list from cs.RO) [pdf, other]

Title: BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform

Authors: Alireza Ahmadi, Michael Halstead, Claus Smitt, Chris McCool

Journal-ref: IEEE Robotics and Automation Letters 2024

Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Multiagent Systems (cs.MA)

[185]  arXiv:2405.09109 (cross-list from cs.RO) [pdf, other]

Title: Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments

Authors: Stanley Mugisha, Vamsi Krishna Guda, Christine Chevallereau, Damien Chablat, Matteo Zoppi

Comments: 17 pages

Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[186]  arXiv:2405.09106 (cross-list from math.OC) [pdf, other]

Title: Minimisation of Polyak-Łojasewicz Functions Using Random Zeroth-Order Oracles

Authors: Amir Ali Farzin, Iman Shames

Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG)

[187]  arXiv:2405.09062 (cross-list from cs.SD) [pdf, other]

Title: Naturalistic Music Decoding from EEG Data via Latent Diffusion Models

Authors: Emilian Postolache, Natalia Polouliakh, Hiroaki Kitano, Akima Connelly, Emanuele Rodolà, Taketo Akama

Subjects: Sound (cs.SD); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)

[188]  arXiv:2405.09052 (cross-list from cond-mat.mtrl-sci) [pdf, other]

Title: Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential

Authors: Zetian Mao, Wenwen Li, Jethro Tan

Subjects: Materials Science (cond-mat.mtrl-sci); Machine Learning (cs.LG)

[189]  arXiv:2405.09005 (cross-list from math.NA) [pdf, other]

Title: Cons-training tensor networks

Authors: Javier Lopez-Piqueres, Jing Chen

Subjects: Numerical Analysis (math.NA); Machine Learning (cs.LG); Quantum Physics (quant-ph)

[190]  arXiv:2405.09004 (cross-list from eess.SY) [pdf, other]

Title: Improving Sequential Market Clearing via Value-oriented Renewable Energy Forecasting

Authors: Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi

Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG)

[191]  arXiv:2405.08999 (cross-list from stat.ML) [pdf, other]

Title: Robust Approximate Sampling via Stochastic Gradient Barker Dynamics

Authors: Lorenzo Mauri, Giacomo Zanella

Journal-ref: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, AISTATS'24, volume 238, 2024, page 2107-2115

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[192]  arXiv:2405.08989 (cross-list from cs.AI) [pdf, ps, other]

Title: What is it for a Machine Learning Model to Have a Capability?

Authors: Jacqueline Harding, Nathaniel Sharadin

Comments: forthcoming in the British Journal for the Philosophy of Science (BJPS)

Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)

[193]  arXiv:2405.08981 (cross-list from cs.HC) [pdf, other]

Title: Impact of Design Decisions in Scanpath Modeling

Authors: Parvin Emami, Yue Jiang, Zixin Guo, Luis A. Leiva

Comments: 16 pages

Subjects: Human-Computer Interaction (cs.HC); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[194]  arXiv:2405.08975 (cross-list from stat.ML) [pdf, other]

Title: A distribution-free valid p-value for finite samples of bounded random variables

Authors: Joaquin Alvarez

Comments: -

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)

[195]  arXiv:2405.08961 (cross-list from cs.CV) [pdf, other]

Title: Bird's-Eye View to Street-View: A Survey

Authors: Khawlah Bajbaa, Muhammad Usman, Saeed Anwar, Ibrahim Radwan, Abdul Bais

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[196]  arXiv:2405.08958 (cross-list from astro-ph.IM) [pdf, other]

Title: Learned radio interferometric imaging for varying visibility coverage

Authors: Matthijs Mars, Marta M. Betcke, Jason D. McEwen

Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG)

[197]  arXiv:2405.08911 (cross-list from cs.CV) [pdf, other]

Title: CLIP with Quality Captions: A Strong Pretraining for Vision Tasks

Authors: Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Oncel Tuzel

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[198]  arXiv:2405.08888 (cross-list from cs.CL) [pdf, other]

Title: Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language

Authors: Jan Kaiser, Annika Eichler, Anne Lauscher

Comments: 22 pages, 5 figures

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Accelerator Physics (physics.acc-ph)

[199]  arXiv:2405.08839 (cross-list from cs.DB) [pdf, other]

Title: PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs

Authors: Satya K Gundabathula, Sriram R Kolar

Comments: Accepted as a poster for Clinical NLP workshop at NAACL 2024

Subjects: Databases (cs.DB); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)

[200]  arXiv:2405.08825 (cross-list from stat.ML) [pdf, other]

Title: Thermodynamic limit in learning period three

Authors: Yuichiro Terasaki, Kohei Nakajima

Comments: 26 pages, 19 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Adaptation and Self-Organizing Systems (nlin.AO); Chaotic Dynamics (nlin.CD)

• Fri, 17 May 2024
• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024