VARIATIONAL LOSSY AUTOENCODER

The paper introduces Variational Lossy Autoencoder(VLAE), a simple and principled method to learn such global representations by combining Variational Autoencoder (VAE) with neural autoregressive models such as RNN, MADE and PixelRNN/CNN, achieving new state-of-the-art results on MNIST, OMNIGLOT...