Machine Learning

Authors and titles for cs.LG in Oct 2023, skipping first 25

[26]  arXiv:2310.00233 [pdf, other]

Title: CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images

Authors: Connor T. Jerzak, Adel Daoud

Comments: For accompanying software, see this https URL

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

[27]  arXiv:2310.00246 [pdf, other]

Title: A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud

Authors: Wenjie Liu, Ying Zhang, Zhiliang Deng, Jiaojiao Zhao, Lian Tong

Comments: 17 pages, 9 figures

Journal-ref: EURASIP Journal on Wireless Communications and Networking,2021.2021(1): p.37

Subjects: Machine Learning (cs.LG); Emerging Technologies (cs.ET); Quantum Physics (quant-ph)

[28]  arXiv:2310.00247 [pdf, other]

Title: Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning

Authors: Sixing Yu, J. Pablo Muñoz, Ali Jannesari

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)

[29]  arXiv:2310.00268 [pdf, other]

Title: Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection

Authors: Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu

Comments: Published in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), scheduled for 14-19 April 2024 in Seoul, Korea

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

[30]  arXiv:2310.00270 [pdf, other]

Title: SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data

Authors: Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang

Comments: 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Subjects: Machine Learning (cs.LG)

[31]  arXiv:2310.00277 [pdf, other]

Title: A Unified Framework for Generative Data Augmentation: A Comprehensive Survey

Authors: Yunhao Chen, Zihui Yan, Yunjie Zhu

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

[32]  arXiv:2310.00290 [pdf, ps, other]

Title: Universality of almost periodicity in bounded discrete time series

Authors: Chikara Nakayama, Tsuyoshi Yoneda

Subjects: Machine Learning (cs.LG); Information Theory (cs.IT); Analysis of PDEs (math.AP); Dynamical Systems (math.DS); Functional Analysis (math.FA)

[33]  arXiv:2310.00301 [pdf, other]

Title: Enhancing the Hierarchical Environment Design via Generative Trajectory Modeling

Authors: Dexun Li, Pradeep Varakantham

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

[34]  arXiv:2310.00311 [pdf, other]

Title: Efficient Planning with Latent Diffusion

Authors: Wenhao Li

Comments: 37 pages, 5 figures

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

[35]  arXiv:2310.00332 [pdf, other]

Title: MFL Data Preprocessing and CNN-based Oil Pipeline Defects Detection

Authors: Iurii Katser, Vyacheslav Kozitsin, Igor Mozolin

Comments: 9 pages, 6 figures, 5 tables, 14 references. arXiv admin note: text overlap with arXiv:2009.10163 by other authors

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

[36]  arXiv:2310.00335 [pdf, other]

Title: Anomaly Detection in Power Generation Plants with Generative Adversarial Networks

Authors: Marcellin Atemkeng, Toheeb Aduramomi Jimoh

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

[37]  arXiv:2310.00336 [pdf, other]

Title: DURENDAL: Graph deep learning framework for temporal heterogeneous networks

Authors: Manuel Dileo, Matteo Zignani, Sabrina Gaito

Subjects: Machine Learning (cs.LG)

[38]  arXiv:2310.00339 [pdf, other]

Title: FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation

Authors: Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

Comments: 46pages, 6 figures

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

[39]  arXiv:2310.00344 [pdf, other]

Title: HarmonyDream: Task Harmonization Inside World Models

Authors: Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long

Subjects: Machine Learning (cs.LG)

[40]  arXiv:2310.00377 [pdf, other]

Title: Mitigating the Effect of Incidental Correlations on Part-based Learning

Authors: Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N Balasubramanian

Comments: Accepted in 37th Conference on Neural Information Processing Systems (NeurIPS'2023)

Subjects: Machine Learning (cs.LG)

[41]  arXiv:2310.00386 [pdf, other]

Title: Order-Preserving GFlowNets

Authors: Yihang Chen, Lukas Mauch

Comments: ICLR 2024

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

[42]  arXiv:2310.00401 [pdf, other]

Title: Learning High-level Semantic-Relational Concepts for SLAM

Authors: Jose Andres Millan-Romera, Hriday Bavle, Muhammad Shaheer, Martin R. Oswald, Holger Voos, Jose Luis Sanchez-Lopez

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

[43]  arXiv:2310.00429 [pdf, other]

Title: On the Stability of Iterative Retraining of Generative Models on their own Data

Authors: Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel

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

[44]  arXiv:2310.00431 [pdf, other]

Title: ResolvNet: A Graph Convolutional Network with multi-scale Consistency

Authors: Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers

Subjects: Machine Learning (cs.LG)

[45]  arXiv:2310.00435 [pdf, other]

Title: Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards

Authors: Silviu Pitis

Comments: In Proceedings of NeurIPS 2023. 10 pages (+4 references, +3 appendix)

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

[46]  arXiv:2310.00448 [pdf, other]

Title: Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data

Authors: Christian Internò, Eloisa Ambrosini

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

[47]  arXiv:2310.00451 [pdf, other]

Title: On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning

Authors: Saaketh Medepalli, Naren Doraiswamy

Comments: 9 pages, 6 figures

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

[48]  arXiv:2310.00457 [pdf, ps, other]

Title: Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets

Authors: Hanif Kia, Mansour Vali, Hadi Sabahi

Comments: 8 pages, accepted in ICMBE2023 Conference

Subjects: Machine Learning (cs.LG)

[49]  arXiv:2310.00488 [pdf, other]

Title: On Memorization and Privacy Risks of Sharpness Aware Minimization

Authors: Young In Kim, Pratiksha Agrawal, Johannes O. Royset, Rajiv Khanna

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

[50]  arXiv:2310.00489 [pdf, other]

Title: Interpretable Imitation Learning with Dynamic Causal Relations

Authors: Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

Comments: Accepted by WSDM 2024 as an oral paper

Subjects: Machine Learning (cs.LG)