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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.
© 2019 Diederik P. Kingma and Max Welling
2019
Diederik P. Kingma and Max Welling
Licensed re-use rights only
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