An Introduction to Variational Autoencoders

Authors: Diederik P. Kingma, Max Welling

Foundations and Trends in Machine Learning: Vol. 12 (2019): No. 4, pp 307-392

arXiv: 1906.02691v3 - DOI (cs.LG)

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.

Submitted to arXiv on 06 Jun. 2019

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