# An Introduction to Variational Autoencoders

**Authors:** Diederik P. Kingma, Max Welling  
**arXiv:** [1906.02691](https://arxiv.org/abs/1906.02691)  
**Date:** 2019-06-06  
**Summary page:** https://www.summarizepaper.com/fr/paper/1906.02691v3/

## Abstract

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.