arXiv cs.LG Machine Learning
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Reposted by arXiv cs.LG Machine Learning
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Jiaru Zou, Soumya Roy, Vinay Kumar Verma, Ziyi Wang, David Wipf, Pan Lu, Sumit Negi, James Zou, Jingrui He: TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning https://arxiv.org/abs/2510.06217 https://arxiv.org/pdf/2510.06217 https://arxiv.org/html/2510.06217
Reposted by arXiv cs.LG Machine Learning
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Christopher Mitcheltree, Hao Hao Tan, Joshua D. Reiss: Modulation Discovery with Differentiable Digital Signal Processing https://arxiv.org/abs/2510.06204 https://arxiv.org/pdf/2510.06204 https://arxiv.org/html/2510.06204
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Yen-Ju Lu, Yashesh Gaur, Wei Zhou, Benjamin Muller, Jesus Villalba, Najim Dehak, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Srinivasan Iyer, Duc Le: Latent Speech-Text Transformer https://arxiv.org/abs/2510.06195 https://arxiv.org/pdf/2510.06195 https://arxiv.org/html/2510.06195
Reposted by arXiv cs.LG Machine Learning
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Jakir Hasan, Shubhashis Roy Dipta: BanglaTalk: Towards Real-Time Speech Assistance for Bengali Regional Dialects https://arxiv.org/abs/2510.06188 https://arxiv.org/pdf/2510.06188 https://arxiv.org/html/2510.06188
Reposted by arXiv cs.LG Machine Learning
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Jordan Seneca, Suzanne Bintanja, Frank M. Selten: Climate Model Tuning with Online Synchronization-Based Parameter Estimation https://arxiv.org/abs/2510.06180 https://arxiv.org/pdf/2510.06180 https://arxiv.org/html/2510.06180
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Emre Adabag, Marcus Greiff, John Subosits, Thomas Lew: Differentiable Model Predictive Control on the GPU https://arxiv.org/abs/2510.06179 https://arxiv.org/pdf/2510.06179 https://arxiv.org/html/2510.06179
Reposted by arXiv cs.LG Machine Learning
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Hwanwoo Kim, Dongkyu Derek Cho, Eric Laber: Implicit Updates for Average-Reward Temporal Difference Learning https://arxiv.org/abs/2510.06149 https://arxiv.org/pdf/2510.06149 https://arxiv.org/html/2510.06149
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Giacomo De Palma, Marco Fanizza, Connor Mowry, Ryan O'Donnell: Non-iid hypothesis testing: from classical to quantum https://arxiv.org/abs/2510.06147 https://arxiv.org/pdf/2510.06147 https://arxiv.org/html/2510.06147
Reposted by arXiv cs.LG Machine Learning
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Aditya Prakash, David Forsyth, Saurabh Gupta: Bimanual 3D Hand Motion and Articulation Forecasting in Everyday Images https://arxiv.org/abs/2510.06145 https://arxiv.org/pdf/2510.06145 https://arxiv.org/html/2510.06145
Reposted by arXiv cs.LG Machine Learning
Reposted by arXiv cs.LG Machine Learning
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Akshay Muppidi, Martin Radfar: EmoHRNet: High-Resolution Neural Network Based Speech Emotion Recognition https://arxiv.org/abs/2510.06072 https://arxiv.org/pdf/2510.06072 https://arxiv.org/html/2510.06072
Reposted by arXiv cs.LG Machine Learning
Reposted by arXiv cs.LG Machine Learning
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Feng, Varvarigos, Panitsas, Fernandez, Wei, Guo, Chen, Maatouk, Tassiulas, Ying: TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis https://arxiv.org/abs/2510.06063 https://arxiv.org/pdf/2510.06063 https://arxiv.org/html/2510.06063
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Rohit Goswami, Hannes J\'onsson: Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches https://arxiv.org/abs/2510.06030 https://arxiv.org/pdf/2510.06030 https://arxiv.org/html/2510.06030
Reposted by arXiv cs.LG Machine Learning
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An Thi Nguyen, Radina Stoykova, Eric Arazo: Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context https://arxiv.org/abs/2510.06026 https://arxiv.org/pdf/2510.06026 https://arxiv.org/html/2510.06026
Reposted by arXiv cs.LG Machine Learning
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Aueaphum Aueawatthanaphisut, Nyi Wunna Tun: Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP https://arxiv.org/abs/2510.06010 https://arxiv.org/pdf/2510.06010 https://arxiv.org/html/2510.06010
Reposted by arXiv cs.LG Machine Learning
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Moritz Schneider, Robert Krug, Narunas Vaskevicius, Luigi Palmieri, Michael Volpp, Joschka Boedecker: Information-Theoretic Policy Pre-Training with Empowerment https://arxiv.org/abs/2510.05996 https://arxiv.org/pdf/2510.05996 https://arxiv.org/html/2510.05996
Reposted by arXiv cs.LG Machine Learning
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Eashan Adhikarla, Yixin Liu, Brian D. Davison: Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance Analysis https://arxiv.org/abs/2510.05976 https://arxiv.org/pdf/2510.05976 https://arxiv.org/html/2510.05976
Reposted by arXiv cs.LG Machine Learning
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Xenia Heilmann, Ernst Althaus, Mattia Cerrato, Nick Johannes Peter Rassau, Mohammad Sadeq Dousti, Stefan Kramer: N-Parties Private Structure and Parameter Learning for Sum-Product Networks https://arxiv.org/abs/2510.05946 https://arxiv.org/pdf/2510.05946 https://arxiv.org/html/2510.05946
Reposted by arXiv cs.LG Machine Learning
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Zheyue Tan, Mustapha Abdullahi, Tuo Shi, Huining Yuan, Zelai Xu, Chao Yu, Boxun Li, Bo Zhao: EARL: Efficient Agentic Reinforcement Learning Systems for Large Language Models https://arxiv.org/abs/2510.05943 https://arxiv.org/pdf/2510.05943 https://arxiv.org/html/2510.05943
Reposted by arXiv cs.LG Machine Learning
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Lin, Ruppik, van Niekerk, Shen, Heck, Lubis, Vukovic, Feng, Ga\v{s}i\'c: Prompt reinforcing for long-term planning of large language models https://arxiv.org/abs/2510.05921 https://arxiv.org/pdf/2510.05921 https://arxiv.org/html/2510.05921
Reposted by arXiv cs.LG Machine Learning
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H\"ofer, Henning, Amiranashvili, Morrison, Tzes, Posner, Matvienko, Rennola, Milan: Kaputt: A Large-Scale Dataset for Visual Defect Detection https://arxiv.org/abs/2510.05903 https://arxiv.org/pdf/2510.05903 https://arxiv.org/html/2510.05903
Reposted by arXiv cs.LG Machine Learning
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Ping-Yi Chen, Chih-Pin Tan, Yi-Hsuan Yang: Segment-Factorized Full-Song Generation on Symbolic Piano Music https://arxiv.org/abs/2510.05881 https://arxiv.org/pdf/2510.05881 https://arxiv.org/html/2510.05881
Reposted by arXiv cs.LG Machine Learning
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Stoisser, Phillips, Misra, Lamb, Torr, Martell, Fauqueur, M\"artens: Towards Label-Free Biological Reasoning Synthetic Dataset Creation via Uncertainty Filtering https://arxiv.org/abs/2510.05871 https://arxiv.org/pdf/2510.05871 https://arxiv.org/html/2510.05871
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Xue-Yong Fu, Elena Khasanova, Md Tahmid Rahman Laskar, Harsh Saini, Shashi Bhushan TN: DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization https://arxiv.org/abs/2510.05858 https://arxiv.org/pdf/2510.05858 https://arxiv.org/html/2510.05858