Learning variational autoencoders via MCMC speed measures

1 code implementation • 26 Aug 2023 • Marcel Hirt, Vasileios Kreouzis, Petros Dellaportas

Variational autoencoders (VAEs) are popular likelihood-based generative models which can be efficiently trained by maximizing an Evidence Lower Bound (ELBO).