An Introduction to Variational Autoencoders

Diederik P. Kingma, Max Welling
2019 Foundations and Trends® in Machine Learning  
Variational autoencoders provide a principled framework for learning deep latent-variable models and corresponding inference models. In this work, we provide an introduction to variational autoencoders and some important extensions.
doi:10.1561/2200000056 fatcat:t3x7k3dt65a5rlviyiixdnj3yi