Papers

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machine learning Oct 14 Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs by Reyhaneh Esmailizadeh, Xingjian Leng, Zhanhao Liang, Liang Zheng machine learning Oct 14 Exact Topological Compliance: Generating Persistence-Equivalent Graphs by Mattie Ji, Indradyumna Roy, Vikas Garg machine learning Oct 14 Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards by Yuante Li, Junwei Quan, Kai Qiu, Kate Zhang, Yicheng Tao machine learning Oct 14 Fast Rates for Offline Q-Learning with KL Regularization by Yize Hao, Guangxin Jiang, Shuang Qiu machine learning Oct 12 AI Models Can Provably Hide Arbitrary Capabilities by Andis Draguns, Sumeet Ramesh Motwani, Raymond Douglas, Christian Schroeder de Witt machine learning Oct 12 Goal-Oriented Bundle Management and Flow Control for Deep-Space Communications via Reinforcement Learning by Sajjad Baghaeea, Aimin Lib, Shanmugarajan Balasubramanian, Elif Uysal machine learning Oct 12 Designing Protein Structures from Natural Language by Joseph Lee, Yanjing Li, Bo Qiang, Gregory Lau, Allyson Ettinger, Noah A. Smith, Rory Donovan-Maiye, David Baker, Hanna Hajishirzi, Pang Wei Koh machine learning Oct 12 Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping by Danil Rudenko, Georgii Bulgakov, Nikolay Kartashev, Ivan Rubachev, Daniil Krasylnikov, Artem Babenko machine learning Oct 12 Prediction Is Not a Sufficient Memory State by Robert Jenkinson Alvarez machine learning Oct 12 Partially Informed Stochastic Optimization via Zeroth-Order Residual Tracking by El Mahdi Chayti, Alireza Mirrokni, Martin Jaggi