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

Erik Nijkamp, Bo Pang, Tian Han +3

This paper studies the fundamental problem of learning deep generative models that consist of multiple layers of latent variables organized in top-down architectures. Such models h…