After reading “Gauge Equivariant Convolutional Networks and the Icosahedral CNN” by Cohen et. al. posted here yesterday, I thought I’d share a non-math summary for everyone who doesn’t have the time to read up on an entire field of physics. I really think the fundamental idea of the paper is really cool for everyone doing deep learning.

https://medium.com/@kayzaks/an-easy-guide-to-gauge-equivariant-convolutional-networks-9366fb600b70