Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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Self-normalized Bernstein Inequalities for Regenerative Processes and Applications to Learning Without Independence
by Imon Banerjee, Pierre Alquier
The role of locality and weight sharing in convolutional neural networks
by Francesco Mori, Melanie Weber
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
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-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
Planning under Noise with Neural Operators
by Michael Chen, Hong Chul Nam, Xi Deng, Anima Anandkumar
Efficient Edge-aware Attention Network for Graph Generation
by Vincent Jung, Alba Carballo-Castro, Yiming Qin, Lonneke van der Plas, Pascal Frossard
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
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
Continuous-Time Policy Gradient from Discrete Data: Convergence Analysis and Model-Free Algorithms
by Martin Hernandez, Xinyan Qing, Mo Zhou, Yuhua Zhu