title: An Introduction to Variational Autoencoders

authors: Diederik P. Kingma, Max Welling

year: 2019

doi: 10.1561/2200000056

zotero: zotero://select/items/@kingmaIntroductionVariationalAutoencoders2019

---

An Introduction to Variational Autoencoders

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.