[1906.02691] An Introduction to Variational Autoencoders
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.
Foundations and Trends R in Machine Learning arXiv:1906.02691v3 [cs.LG] 11 Dec 2019 An Introduction to Variational Autoencoders Suggested Citation: Diederik P. Kingma and Max Welling (2019), “An Introduction to Variational Autoencoders”, Foundations and Trends R in Machine Learning: Vol. xx, No. xx, pp 1–18. DOI:…
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