Construct · 1 fields · 1 citations

variational autoencoder: a standalone construct

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Machine learning

a generative model pairing an encoder that maps data to a distribution over latent variables with a decoder, trained by maximizing a variational bound.

In machine learning, variational autoencoder refers to a generative model pairing an encoder that maps data to a distribution over latent variables with a decoder, trained by maximizing a variational bound. This meaning comes from Kingma (2019) in Foundations and Trends® in Machine Learning.[1]

Unit
Recovery means
Measured by

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Nearby constructs

autoencoder1 fields · 1 citationsanchor · a standalone construct decoder3 fields · 6 citationsjingle · one word, three constructs distribution2 fields · 2 citationsjingle · one word, two constructs

References

Kingma, D. P., & Welling, M. (2019). An Introduction to Variational Autoencoders. Foundations and Trends® in Machine Learning, 12(4), 307-392. https://doi.org/10.1561/2200000056

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