Topographic V AEs learn Equivariant Capsules

In this work we seek to bridge the concepts of topographic organization and equiv-ariance in neural networks. To accomplish this, we introduce the Topographic V AE: a novel method for efficiently training deep generative models with topographically organized latent variables.