Equivariant neural networks and equivarification

Understand

Equivariant neural networks are a class of neural networks designed to preserve symmetries inherent in the data.

• In this paper, we introduce a general method for modifying a neural network to enforce equivariance, a process we refer to as equivarification.
• We further show that group convolutional neural networks (G-CNNs) arise as a special case of our framework.