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An Introduction to Variational Autoencoders

Machine Learning 2019-12-12 v3 Machine Learning

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.

Keywords

Cite

@article{arxiv.1906.02691,
  title  = {An Introduction to Variational Autoencoders},
  author = {Diederik P. Kingma and Max Welling},
  journal= {arXiv preprint arXiv:1906.02691},
  year   = {2019}
}
R2 v1 2026-06-23T09:45:44.486Z