Papers

Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.

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machine learning Sep 30 Multi-Agent Flow Matching with Decoupled Generative Guidance by Ruoyu Lin, Magnus Egerstedt, Fabio Pasqualetti ai Sep 30 Achieving an $O(1/N)$ Optimality Gap in Average-Reward Weakly-Coupled MDPs by Yige Hong, Xiangcheng Zhang, Qiaomin Xie, Yudong Chen, Weina Wang ai Sep 30 Stochastic World Models for Verifying Vision-Based Neural Feedback Systems by I. Samuel Akinwande, Mykel J. Kochenderfer, Clark Barrett machine learning Sep 29 FurE: Efficient Instance-Specific 3D Fur Reconstruction without Animal-Fur Datasets by Srinjay Sarkar, Prakhar Kaushik, Soumava Paul, Alan Yuille machine learning Sep 29 Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning by Yijia Fan, Ziqi Huang, Zhongang Cai, Yan Li, Zimo Wen, Wanqi Yin, Haiwen Diao, Ziwei Liu machine learning Sep 29 PDMD: Projected Distribution Matching Distillation for Video Diffusion Models by Zimo Wang, Junkun Yuan, Angtian Wang, Haotian Yang, Canyu Zhang, Siyuan Yuan, Xingchang Huang, Bo Liu, Yizhi Wang, Yiding Yang, Chongyang Ma, Gordon Guocheng Qian machine learning Sep 29 Unifying Distributional Training for One-Step Visual Generation by Chi Zhang, Haoyang Shi, Yueyi Liu, Ruichuan An, Junkang Zhou, Chang Li, Xiuyuan Lu, Yichi Zhang, Bo Wang, Yuhang Wu, Sen Cui, Miao Liu ai Sep 29 TokenCast: Forecasting Token Consumption During LLM Agent Execution by Chaoqian Ouyang, Ling Yue, Libin Zheng, Huanghui Guo, Shengxiang Xu, YiShu Wang, Ran Li, Jian Yin, Shaowu Pan, Shimin Di machine learning Sep 29 Neural Harmonic Measure Operator by Jinjin He, Sinan Wang, Yuchen Sun, Bo Zhu machine learning Sep 29 How to Loop MoE: Flatten the Experts, Untie the Attention by Shouren Wang, Chuang Ma, Mohsen Hariri, Debargha Ganguly, Wang Yang, Xiaoqing Tong, Qianying Liu, Xiaotian Han, Vipin Chaudhary