Introduction and Overview
Equivariant Deep Learning aims to integrate certain priors into the model architecture, to make the algorithms robust against transformations of the input (so called symmetries). In this video I talk about the basics of equivariant deep learning, such as Group Convolutions and also show how to integrate equivariance into more recent models like Transformers and GNNs.
Hope you like it!