Primary definition
In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling in 2013. It is part of the families of probabilistic graphical models and variational Bayesian methods.
Also known asVAE · Variational Auto-Encoder · Variational Bayesian Autoencoder
1 sources cited4 related termsReviewed Aug 10, 2026
— NICCS GlossaryView source
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NICCS
In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling in 2013. It is part of the families of probabilistic graphical models and variational Bayesian methods.
NICCS Glossary · 2024
Cite this term
Permanent URL · stable across revisions
Election Security Glossary. (2026). Variational Autoencoder. In Election Security Glossary. Retrieved August 13, 2026, from https://electionsecurityglossary.com/glossary/variational-autoencoder
Sources
1 cited · last checked Aug 10, 2026
01
NICCS Glossary
NICCS Glossary
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