Papers | simpleprog

machine learning Oct 16 Rethinking Routing Exploration in Modern Mixture-of-Experts by Bingcong Li, Hao Ma, Michael Muehlebach, Niao He, Yi Ma

machine learning Oct 16 Lean Graph Search for Formal Theorem Proving by Yihan Xu, Jia-Chen Gu, Junyi Zhang, Di Wu, Haikang Deng, Po-Nien Kung, Kai-Wei Chang, Amit Sahai, Wei Wang, Nanyun Peng

machine learning Oct 16 Sim-to-Real Reinforcement Learning for Path-Safe Target Reaching in Robotic Harvesting of Hydroponic Lettuce by Al Bashir, Partho Ghose, Yibin Wang, Robert G. Hardin, Joshua Peeples, Genhua Niu, Azlan Zahid

machine learning Oct 16 Robust Reinforcement Learning for Dynamic Treatment Regimes under Model and Measurement Uncertainty by Chengze Xie, Xuan Wang, Ying Ding, Hairong Wang, Yan Li

machine learning Oct 16 Twice Upon a Time: Complementary Representations for Time-Series Reasoning by Hedi Zisling, Liran Nochumsohn, Ilan Naiman, Mihir Parmar, Omri Azencot

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 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 12 AI Models Can Provably Hide Arbitrary Capabilities by Andis Draguns, Sumeet Ramesh Motwani, Raymond Douglas, Christian Schroeder de Witt

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