An Easy Guide to Gauge Equivariant Convolutional Networks

From: https://towardsdatascience.com/an-easy-guide-to-gauge-equivariant-convolutional-networks-9366fb600b70 Geometric deep learning is a very exciting new field, but its mathematics is slowly drifting into the territory of algebraic topology and theoretical physics. This is especially true for the paper “Gauge Equivariant Convolutional Networks and the Icosahedral CNN” by Cohen et. al.(https://arxiv.org/abs/1902.04615), which I want to explore in this article. The paper uses … Continue reading An Easy Guide to Gauge Equivariant Convolutional Networks