Papers

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machine learning Sep 22 RRSI: Regularized Recursive Self-Improvement of Agent Harnesses by Peng Xia, Rujun Han, Zifeng Wang, Yanfei Chen, Yufan Zhang, Yoonho Lee, Chengsong Huang, Han Yu, Zhongying CuiZhu, Yifei Ming, Huaxiu Yao, Burak Gokturk, Tomas Pfister, Chen-Yu Lee machine learning Sep 22 Rare Event Estimation via Iterative Unalignment by Hanming Yang, Daksh Mittal, Jing Dong, Hongseok Namkoong machine learning Sep 21 OmniVBench: A Benchmark and Large-Scale Dataset for Omni Reference-to-Video Generation by Wenxue Li, Peiyan Guan, Haoyang Jiang, Junxian Cai, Hualuo Liu, Chunjie Zhang, Chong Guan, Songlian Li, Taiyi Wu, Yongjian Yu, Xiaotong Zhao, Alan Zhao, Eric Liu, Xi Chen, Yu Liu, Lei Zhu machine learning Sep 21 BrainWideBench: Benchmarking large-scale pretraining and across-animal transfer in multi-region neural recordings by Alexandre Andre, Shivashriganesh P. Mahato, Vinam Arora, Keshav Balaji, Divyansha Lachi, Nanda H. Krishna, Jingyun Xiao, Yizi Zhang, Ximeng Mao, Wenrui Ma, Han Yu, International Brain Laboratory, Daniel Birman, Niccolò Bonacchi, Gaelle A. Chapuis, Joana A. Catarino, Felicia Davatolhagh, Mayo Faulkner, Laura Freitas-Silva, Fei Hu, Julia M. Huntenburg, Anup Khanal, Inês Laranjeira, Petrina Lau, Guido T. Meijer, Nathaniel J. Miska, Jean-Paul Noel, Alejandro Pan-Vazquez, Georg Raiser, Cyrille Rossant, Karolina Z. Socha, Anne E. Urai, Miles J. Wells, Steven J. West, Olivier Winter, Blake Richards, Guillaume Lajoie, Cole Hurwitz, Mehdi Azabou, Matthew R. Whiteway, Liam Paninski, Eva L. Dyer machine learning Sep 21 Benchmarking World Models for Continual Learning on Compositional Tasks by Haoyu Zhou, Joe Watson, Anson Lei, Ingmar Posner machine learning Sep 21 Particle Competition and Cooperation for Robust Graph Convolutional Network Learning Under Label Noise by Fabricio Breve machine learning Sep 21 Available Guardrails: Certifying Selective Prediction across ML Systems by Parivesh Priye, Yufeng Wang, Haibin Ling, Michael Chaykowsky machine learning Sep 21 PRIME: Perception Feedback with Situational Memory Embeddings in VLA Models by Erik Deinzer, Naya Baslan, Luca Paparusso, Narunas Vaskevicius, Peter Knott, Luigi Palmieri machine learning Sep 21 $λ$-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted Resource by Yufeng Wang, Parivesh Priye, Meeshawn Marathe, Ramit Pahwa machine learning Sep 21 COMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence Modules by Sushovan Majhi, Atish Mitra, Žiga Virk, Pramita Bagchi