Improving Energy Conserving Descent for Machine Learning: Theory and Practice

1 June 2023

Papers citing "Improving Energy Conserving Descent for Machine Learning: Theory and Practice"

4 / 4 papers shown

Title
TASI Lectures on Physics for Machine Learning Jim Halverson 30 1 0 31 Jul 2024
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization G. Luca E. Silverstein 43 10 0 26 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018