Variational Autoencoders with Riemannian Brownian Motion Priors

Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis, Søren Hauberg

Abstract: 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 common choice of a sta...