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arxiv:1906.02691
An Introduction to Variational Autoencoders
Published on Jun 6, 2019
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Abstract
Variational autoencoders and their extensions are discussed as strategic frameworks for learning deep latent-variable models and their inference.
AI-generated summary
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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