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An Introduction to Variational Autoencoders

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arxiv 1906.02691 v3 pith:UYCF7O5P submitted 2019-06-06 cs.LG stat.ML

Diederik P. Kingma , Max Welling This is my paper · ORCID
classification cs.LGstat.ML
keywords autoencodersvariationalintroductionmodelscorrespondingdeepextensionsframework
verification ladder T0 review T1 audit T2 compute T3 formal

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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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Cited by 22 Pith papers

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