Variational Autoencoder

Learning Multi-Layer Latent Variable Model with Short Run MCMC Inference Dynamics

Short Run MCMC sampling is utilized in a deep generative model with multiple layers of latent variables

Formulation of Variational Lower Bound and Application of VAE to MNIST Dataset

Formulation of the evidence lower bound (ELBO) for the variational autoencoder and an application to synthesizing binary images