Machine Learning

Authors and titles for recent submissions

• Mon, 22 Sep 2025
• Fri, 19 Sep 2025
• Thu, 18 Sep 2025
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• Tue, 16 Sep 2025

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Mon, 22 Sep 2025 (showing first 50 of 155 entries )

[1] arXiv:2509.16203 [pdf, html, other]

Title: Inverting Trojans in LLMs

Zhengxing Li, Guangmingmei Yang, Jayaram Raghuram, David J. Miller, George Kesidis

Subjects: Machine Learning (cs.LG)

[2] arXiv:2509.16189 [pdf, html, other]

Title: Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences

Andrew Kyle Lampinen, Martin Engelcke, Yuxuan Li, Arslan Chaudhry, James L. McClelland

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

[3] arXiv:2509.16173 [pdf, html, other]

Title: DIVEBATCH: Accelerating Model Training Through Gradient-Diversity Aware Batch Size Adaptation

Yuen Chen, Yian Wang, Hari Sundaram

Subjects: Machine Learning (cs.LG)

[4] arXiv:2509.16151 [pdf, html, other]

Title: Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents

Isaiah J. King, Benjamin Bowman, H. Howie Huang

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

[5] arXiv:2509.16139 [pdf, html, other]

Title: Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media

M. Giselle Fernández-Godino, Meir H. Shachar, Kevin Korner, Jonathan L. Belof, Mukul Kumar, Jonathan Lind, William J. Schill

Comments: 16 pages, 10 figures

Subjects: Machine Learning (cs.LG)

[6] arXiv:2509.16131 [pdf, html, other]

Title: Dynamic Classifier-Free Diffusion Guidance via Online Feedback

Pinelopi Papalampidi, Olivia Wiles, Ira Ktena, Aleksandar Shtedritski, Emanuele Bugliarello, Ivana Kajic, Isabela Albuquerque, Aida Nematzadeh

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

[7] arXiv:2509.16126 [pdf, html, other]

Title: Network-Based Detection of Autism Spectrum Disorder Using Sustainable and Non-invasive Salivary Biomarkers

Janayna M. Fernandes, Robinson Sabino-Silva, Murillo G. Carneiro

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

[8] arXiv:2509.16117 [pdf, html, other]

Title: DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu

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

[9] arXiv:2509.16101 [pdf, html, other]

Title: Personalized Federated Learning with Heat-Kernel Enhanced Tensorized Multi-View Clustering

Kristina P. Sinaga

Comments: 26 pages, 3 algorithms, and 3 figures

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

[10] arXiv:2509.16088 [pdf, html, other]

Title: Randomized Smoothing Meets Vision-Language Models

Emmanouil Seferis, Changshun Wu, Stefanos Kollias, Saddek Bensalem, Chih-Hong Cheng

Comments: EMNLP'25 full version, including appendix (proofs, additional experiments)

Subjects: Machine Learning (cs.LG)

[11] arXiv:2509.16084 [pdf, html, other]

Title: Rethinking Molecule Synthesizability with Chain-of-Reaction

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Weili Nie, Arash Vahdat

Subjects: Machine Learning (cs.LG)

[12] arXiv:2509.16078 [pdf, html, other]

Title: MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning

Yi Xu, Yitian Zhang, Yun Fu

Comments: Accepted by ICDM 2025

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

[13] arXiv:2509.16068 [pdf, other]

Title: Communications to Circulations: 3D Wind Field Retrieval and Real-Time Prediction Using 5G GNSS Signals and Deep Learning

Yuchen Ye, Hong Liang, Chaoxia Yuan, Mingyu Li, Aoqi Zhou, Chunqing Shang, Hua Cai, Peixi Liu, Kezuan Wang, Yifeng Zheng

Comments: 31 pages,11 figures,1 table

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

[14] arXiv:2509.16060 [pdf, html, other]

Title: SABER: Uncovering Vulnerabilities in Safety Alignment via Cross-Layer Residual Connection

Maithili Joshi, Palash Nandi, Tanmoy Chakraborty

Comments: Accepted in EMNLP'25 Main

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

[15] arXiv:2509.16040 [pdf, html, other]

Title: Automated Constitutive Model Discovery by Pairing Sparse Regression Algorithms with Model Selection Criteria

Jorge-Humberto Urrea-Quintero, David Anton, Laura De Lorenzis, Henning Wessels

Subjects: Machine Learning (cs.LG); Materials Science (cond-mat.mtrl-sci); Computational Engineering, Finance, and Science (cs.CE)

[16] arXiv:2509.16026 [pdf, html, other]

Title: Time-adaptive SympNets for separable Hamiltonian systems

Konrad Janik, Peter Benner

Subjects: Machine Learning (cs.LG)

[17] arXiv:2509.16014 [pdf, other]

Title: Predicting the descent into extremism and terrorism

R.O. Lane, W.J. Holmes, C.J. Taylor, H.M. State-Davey, A.J. Wragge

Comments: 10 pages, 12 figures, presented at 6th IMA Conference on Mathematics in Defence and Security, Online, 30 September 2023 (conference page at this https URL). arXiv admin note: text overlap with arXiv:2502.00013

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY)

[18] arXiv:2509.15999 [pdf, html, other]

Title: Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems

Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork

Comments: Accepted at Neurips 2025

Subjects: Machine Learning (cs.LG)

[19] arXiv:2509.15986 [pdf, html, other]

Title: EmoHeal: An End-to-End System for Personalized Therapeutic Music Retrieval from Fine-grained Emotions

Xinchen Wan, Jinhua Liang, Huan Zhang

Comments: 5 pages, 5 figures. Submitted to the 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Human-Computer Interaction (cs.HC); Sound (cs.SD); Audio and Speech Processing (eess.AS)

[20] arXiv:2509.15981 [pdf, html, other]

Title: Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations

Yujie Zhu, Charles A. Hepburn, Matthew Thorpe, Giovanni Montana

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

[21] arXiv:2509.15965 [pdf, html, other]

Title: RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation

Chao Yu, Yuanqing Wang, Zhen Guo, Hao Lin, Si Xu, Hongzhi Zang, Quanlu Zhang, Yongji Wu, Chunyang Zhu, Junhao Hu, Zixiao Huang, Mingjie Wei, Yuqing Xie, Ke Yang, Bo Dai, Zhexuan Xu, Xiangyuan Wang, Xu Fu, Zhihao Liu, Kang Chen, Weilin Liu, Gang Liu, Boxun Li, Jianlei Yang, Zhi Yang, Guohao Dai, Yu Wang

Comments: GitHub Repo: this https URL

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

[22] arXiv:2509.15955 [pdf, html, other]

Title: Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation

Zhangqi Jiang, Tingjin Luo, Xu Yang, Xinyan Liang

Comments: 30 pages, 15 figures

Subjects: Machine Learning (cs.LG)

[23] arXiv:2509.15950 [pdf, html, other]

Title: Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions

Marko Tuononen, Heikki Penttinen, Ville Hautamäki

Comments: 7 pages; 10 figures; 1 table; 19 equations

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

[24] arXiv:2509.15934 [pdf, html, other]

Title: UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation

Mingdong Wu, Long Yang, Jin Liu, Weiyao Huang, Lehong Wu, Zelin Chen, Daolin Ma, Hao Dong

Subjects: Machine Learning (cs.LG)

[25] arXiv:2509.15933 [pdf, html, other]

Title: Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics

Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, David Pardo, Jose I. Aizpurua

Comments: Submitted to the Annual Prognostics and Health Management (PHM) Society Conference 2025

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

[26] arXiv:2509.15932 [pdf, html, other]

Title: The Alignment Bottleneck

Wenjun Cao

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

[27] arXiv:2509.15929 [pdf, html, other]

Title: Improving Monte Carlo Tree Search for Symbolic Regression

Zhengyao Huang, Daniel Zhengyu Huang, Tiannan Xiao, Dina Ma, Zhenyu Ming, Hao Shi, Yuanhui Wen

Subjects: Machine Learning (cs.LG)

[28] arXiv:2509.15927 [pdf, html, other]

Title: Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search

Zhiyu Mou, Yiqin Lv, Miao Xu, Cheems Wang, Yixiu Mao, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng

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

[29] arXiv:2509.15915 [pdf, html, other]

Title: Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds

Remo Sasso, Michelangelo Conserva, Dominik Jeurissen, Paulo Rauber

Comments: 20 pages, 9 figures. Accepted for presentation at the 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop on Embodied World Models for Decision Making

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

[30] arXiv:2509.15895 [pdf, other]

Title: From Data to Diagnosis: A Large, Comprehensive Bone Marrow Dataset and AI Methods for Childhood Leukemia Prediction

Henning Höfener (1), Farina Kock (1), Martina Pontones (2), Tabita Ghete (2 and 3), David Pfrang (1), Nicholas Dickel (4), Meik Kunz (4), Daniela P. Schacherer (1), David A. Clunie (5), Andrey Fedorov (6), Max Westphal (1), Markus Metzler (2 and 3 and 7) ((1) Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, (2) Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany, (3) Bavarian Cancer Research Center (BZKF), Erlangen, Germany, (4) Medical Informatics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany, (5) PixelMed Publishing LLC, Bangor, PA, USA, (6) Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA, (7) Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany)

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

[31] arXiv:2509.15865 [pdf, html, other]

Title: SAGE: Semantic-Aware Shared Sampling for Efficient Diffusion

Haoran Zhao, Tong Bai, Lei Huang, Xiaoyu Liang

Comments: 5 pages, 4 figures

Subjects: Machine Learning (cs.LG)

[32] arXiv:2509.15861 [pdf, html, other]

Title: ToFU: Transforming How Federated Learning Systems Forget User Data

Van-Tuan Tran, Hong-Hanh Nguyen-Le, Quoc-Viet Pham

Comments: ECAI-2025

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

[33] arXiv:2509.15859 [pdf, html, other]

Title: Efficient Long-Tail Learning in Latent Space by sampling Synthetic Data

Nakul Sharma

Comments: Accepted to Curated Data for Efficient Learning Workshop at ICCV 2025

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

[34] arXiv:2509.15857 [pdf, html, other]

Title: EvoBrain: Dynamic Multi-channel EEG Graph Modeling for Time-evolving Brain Network

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

Comments: Accepted by NeurIPS 2025 (spotlight)

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

[35] arXiv:2509.15844 [pdf, html, other]

Title: FedHK-MVFC: Federated Heat Kernel Multi-View Clustering

Kristina P. Sinaga

Comments: 41 pages, 9 figures, and 3 tables

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Distributed, Parallel, and Cluster Computing (cs.DC); Algebraic Geometry (math.AG)

[36] arXiv:2509.15843 [pdf, html, other]

Title: Tsururu: A Python-based Time Series Forecasting Strategies Library

Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay, Andrey Savchenko, Dmitry Simakov

Comments: Accepted at IJCAI'25 Demo Track

Subjects: Machine Learning (cs.LG)

[37] arXiv:2509.15828 [pdf, html, other]

Title: HyP-ASO: A Hybrid Policy-based Adaptive Search Optimization Framework for Large-Scale Integer Linear Programs

Ning Xu, Junkai Zhang, Yang Wu, Huigen Ye, Hua Xu, Huiling Xu, Yifan Zhang

Subjects: Machine Learning (cs.LG); Discrete Mathematics (cs.DM)

[38] arXiv:2509.15827 [pdf, html, other]

Title: SolarCrossFormer: Improving day-ahead Solar Irradiance Forecasting by Integrating Satellite Imagery and Ground Sensors

Baptiste Schubnel, Jelena Simeunović, Corentin Tissier, Pierre-Jean Alet, Rafael E. Carrillo

Comments: 15 pages, 17 figures, submitted to IEEE Transactions on Sustainable Energy

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

[39] arXiv:2509.15816 [pdf, html, other]

Title: On the Convergence of Muon and Beyond

Da Chang, Yongxiang Liu, Ganzhao Yuan

Subjects: Machine Learning (cs.LG)

[40] arXiv:2509.15815 [pdf, html, other]

Title: ThermalGuardian: Temperature-Aware Testing of Automotive Deep Learning Frameworks

Yinglong Zou, Juan Zhai, Chunrong Fang, Zhenyu Chen

Subjects: Machine Learning (cs.LG); Software Engineering (cs.SE)

[41] arXiv:2509.15810 [pdf, html, other]

Title: Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering

Chen Wang, Zeyuan Ma, Zhiguang Cao, Yue-Jiao Gong

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

[42] arXiv:2509.15796 [pdf, html, other]

Title: Monte Carlo Tree Diffusion with Multiple Experts for Protein Design

Xuefeng Liu, Mingxuan Cao, Songhao Jiang, Xiao Luo, Xiaotian Duan, Mengdi Wang, Tobin R. Sosnick, Jinbo Xu, Rick Stevens

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Biomolecules (q-bio.BM)

[43] arXiv:2509.15776 [pdf, html, other]

Title: Generalization and Optimization of SGD with Lookahead

Kangcheng Li, Yunwen Lei

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

[44] arXiv:2509.15767 [pdf, html, other]

Title: Learning to Optimize Capacity Planning in Semiconductor Manufacturing

Philipp Andelfinger, Jieyi Bi, Qiuyu Zhu, Jianan Zhou, Bo Zhang, Fei Fei Zhang, Chew Wye Chan, Boon Ping Gan, Wentong Cai, Jie Zhang

Subjects: Machine Learning (cs.LG)

[45] arXiv:2509.15759 [pdf, html, other]

Title: On Optimal Steering to Achieve Exact Fairness

Mohit Sharma, Amit Jayant Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah

Comments: Accepted for Presentation at Neurips 2025

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

[46] arXiv:2509.15740 [pdf, other]

Title: Incremental Multistep Forecasting of Battery Degradation Using Pseudo Targets

Jonathan Adam Rico, Nagarajan Raghavan, Senthilnath Jayavelu

Comments: The published version of this preprint can be accessed at this https URL

Subjects: Machine Learning (cs.LG)

[47] arXiv:2509.15738 [pdf, html, other]

Title: GUI-ReWalk: Massive Data Generation for GUI Agent via Stochastic Exploration and Intent-Aware Reasoning

Musen Lin, Minghao Liu, Taoran Lu, Lichen Yuan, Yiwei Liu, Haonan Xu, Yu Miao, Yuhao Chao, Zhaojian Li

Subjects: Machine Learning (cs.LG)

[48] arXiv:2509.15736 [pdf, html, other]

Title: Aircraft Fuel Flow Modelling with Ageing Effects: From Parametric Corrections to Neural Networks

Gabriel Jarry, Ramon Dalmau, Philippe Very, Junzi Sun

Subjects: Machine Learning (cs.LG)

[49] arXiv:2509.15735 [pdf, html, other]

Title: EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs

Davide Ettori, Nastaran Darabi, Sina Tayebati, Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo, Amit Ranjan Trivedi

Comments: 5 pages, submitted to ICASSP 2026, September 2025

Subjects: Machine Learning (cs.LG)

[50] arXiv:2509.15724 [pdf, html, other]

Title: RMT-KD: Random Matrix Theoretic Causal Knowledge Distillation

Davide Ettori, Nastaran Darabi, Sureshkumar Senthilkumar, Amit Ranjan Trivedi

Comments: 5 pages, submitted to ICASSP 2026, September 2025

Subjects: Machine Learning (cs.LG)