Abstractwe describe how neural networks may be used to learn solutions to the Yang-Baxter Equation using 2d spin chains of difference form as a concrete example. the talk is based on arxiv:2304.07247, which is joint work with Suvajit Majumder and Evgeny Skvortsov.Speaker IntroDr Shailesh Lal received his PhD from the Harish-Chandra Research Institute. His research interests are applications of ...
AbstractLearning dynamics of deep neural networks is complex. While previous approaches made advances in mathematical analysis of the dynamics of two-layer neural networks, addressing deeper networks have been challenging. In this talk, I will present a mean field theory of the learning dynamics of deep networks and discuss its practical implications