no code implementations • 29 Sep 2021 • Dario Augusto Borges Oliveira, Laura Elena Cue La Rosa
Variational autoencoders are unsupervised generative models that implement latent space regularization towards a known distribution, enabling stochastic synthesis from straightforward sampling procedures.