代码大模型 / AI 编程

Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory

Benjamin Yu, Vincenzo Lordi, Daniel Schwalbe-Koda

机构 * Department of Materials Science and Engineering, University of California, Los Angeles, CA, United States（加州大学洛杉矶分校材料科学与工程系） ； Materials Science Division, Lawrence Livermore National Laboratory, CA, United States（劳伦斯利弗莫尔国家实验室材料科学部） 纠错

专题命中 仓库级理解 ：repository(abstract)；分类 cs.LG

Comments main text + SI; code at https://github.com/dskoda/quests

From Euler to Today: Universal Mathematical Fallibility A Large-Scale Computational Analysis of Errors in ArXiv Papers

Igor Rivin

机构 * Department of Mathematics, Temple University（特拉华大学数学系） 纠错

专题命中 仓库级理解 ：repository(abstract)；分类 cs.AI

Dual-Mode Deep Anomaly Detection for Medical Manufacturing: Structural Similarity and Feature Distance

Julio Zanon Diaz, Georgios Siogkas, Peter Corcoran

专题命中 仓库级理解 ：repository(abstract)；分类 cs.AI

Comments 12 pages, 3 figures, 3 tables

Analyzing Exoplanet Transits Observed with the WFC3/UVIS G280 Grism

Munazza K. Alam, Frederick Dauphin, Amanda Pagul

专题命中 仓库级理解 ：repository(abstract)

Comments 11 pages, 8 figures, published in April 2025