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Auto-Encoding Variational Bayes

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Authors: Diederik P. Kingma, Max Welling
Year: 2013
Journal: arXiv
DOI: 10.48550/arXiv.1312.6114
Publisher: https://arxiv.org/abs/1312.6114

Keywords: vae, variational inference

Abstract

How can we perform efficient inference and learning in directed probabilistic models with continuous latent variables and intractable posterior distributions?

Cite this paper

bibtex
@misc{vae2013,
  title  = {Auto-Encoding Variational Bayes},
  author = {Diederik P. Kingma, Max Welling},
  year   = {2013},
  journal = {arXiv},
  doi    = {10.48550/arXiv.1312.6114},
  url    = {https://doi.org/10.48550/arXiv.1312.6114},
}

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Released under the MIT License.