Variational Autoencoders with Riemannian Brownian Motion Priors

Dimitris Kalatzis, David Eklund, Georgios Arvanitidis +1

Variational Autoencoders (VAEs) represent the given data in a low-dimensional latent space, which is generally assumed to be Euclidean. This assumption naturally leads to the commo…