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An Introduction to Variational Autoencoders
Published: June 6, 2019
arXiv: 1906.02691v3
Authors
Diederik P. Kingma
,
Max Welling
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.
