Variational Autoencoder

Learning Multi-Layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference

Short-run MCMC residual network outperforms a variational autoencoder in regard to image reconstruction error and image synthesis quality, while not requiring the design of a separate inference network

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

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