Papers

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machine learning Oct 22 Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching by Yunpeng Mei, Xiaowen Zhu, Chenyu Wang, Chenbo Xin, Hongjie Cao, Jiamin Wang, Jie Chen, Gang Wang machine learning Oct 22 BatchBench: Benchmarking AI Robustness to Batch Effects and Domain Shift in Biomedical Images - A JUMP Cell Painting Leaderboard by Sonja Topf, Ana Sanchez-Fernandez, Günter Klambauer machine learning Oct 22 Machine Learning-Enabled Wireless Power Transfer: A Task-Oriented Review of Structural Optimization, State and Parameter Estimation, and Adaptive Control by Denghao Luo, Yiheng Jiang, Jiaqi Zhao, Yuan Gao, Changsong Cai, Weiyi Huang, Yun Zhang machine learning Oct 21 Planning under Noise with Neural Operators by Michael Chen, Hong Chul Nam, Xi Deng, Anima Anandkumar machine learning Oct 21 Efficient Edge-aware Attention Network for Graph Generation by Vincent Jung, Alba Carballo-Castro, Yiming Qin, Lonneke van der Plas, Pascal Frossard machine learning Oct 21 InterWebCoder: Learning Interactive Webpage Generation from Executable Tests via Reinforcement Learning by Jingyu Xiao, Dasen Dai, Yuxuan Wan, Jen-tse Huang, Yintong Huo, Hongyu Zhang, Michael R. Lyu machine learning Oct 21 PaPi: Parallel Picard-Duhamel Integration for Fast Neuro-Spectral Architectures by Arthur Bizzi, Márcio Marques, Kleyton Da Costa, Vitor Balestro, Tiago Novello, João M. Pereira, Daniel Yukimura machine learning Oct 21 Continuous-Time Policy Gradient from Discrete Data: Convergence Analysis and Model-Free Algorithms by Martin Hernandez, Xinyan Qing, Mo Zhou, Yuhua Zhu machine learning Oct 21 Continual Concept Personalization in Diffusion Models via Residual-Space Adaptation by Yuzhi Liu, Enis Simsar, Giulia Lanzillotta, Thomas Hofmann machine learning Oct 20 Text-to-Image Generative Modeling Without Language Pretraining by Keshigeyan Chandrasegaran, Yue Zhao, Armin W. Thomas, Ehsan Adeli, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Michael Poli