Replication Data for: Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion

Name: Replication Data for: Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion
Creator: School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi’an Jiaotong University; School of Telecommunications Engineering, Xidian University; Northwest Institute of Nuclear Technology; Key Laboratory of Quark and Lepton Physics & Institute of Particle Physics, Central China Normal University
Published: 2024-01-01T00:00:00+08:00

Harvard Dataverse2024-09-11 更新2026-04-09 收录

神经网络优化

对称性破缺

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/QCYE4M 数据链接链接失效反馈

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资源简介：

The reproducible code and trainned neural network of the work entitled "Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion".

提供机构：

School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi’an Jiaotong University; School of Telecommunications Engineering, Xidian University; Northwest Institute of Nuclear Technology; Key Laboratory of Quark and Lepton Physics & Institute of Particle Physics, Central China Normal University

创建时间：

2024-01-01