A Tutorial on Information Maximizing Variational Autoencoders (InfoVAE)

This tutorial discusses MMD variational autoencoders, a member of the InfoVAE family. It is an alternative to traditional variational autoencoders that is fast to train, stable, and easy to implement.
Shengjia Zhao

Learning Hierarchical Features from Generative Models

Current ways of stacking variational autoencoders may not always provide meaningful structured features. In fact, we showed in a recent ICML paper that while existing approaches have shortcomings, a new ladder architecture can often learn distentangled features.