Equivariant Learning Through Invariant Theory

Equivariant Learning Through Invariant Theory

Explore the concept of equivariant learning through invariant theory in this 41-minute lecture by Jeoren Lamb from Imperial College London. Delivered as part of the Fourth Symposium on Machine Learning and Dynamical Systems at the Fields Institute on July 12, 2024, delve into the intersection of machine learning and dynamical systems, focusing on how invariant theory can be applied to create more robust and efficient learning algorithms.