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An Introduction to Variational Autoencoders

Diederik P. Kingma
Max Welling
Foundations and Trends in Machine Learning (2019)


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.

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