ANTI-AI ARCHIVE
ART-HISTORY NODE / 044 · 2013

Auto-Encoding Variational Bayes

Auto-Encoding Variational Bayes

Kingma & Welling

Historical context & research account

The variational autoencoder establishes a differentiable framework for generative latent-variable modelling. For this genealogy, a significant legacy is the movement of latent space from statistical terminology into visual culture: images can be compressed into representations, reconstructed, and newly sampled within a learned generative space.

Dates & version record

Date displayed for this node:2013 · Date recorded in the research master:2013

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Original sources & further reading

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Auto-Encoding Variational Bayes ↗

Auto-Encoding Variational Bayes

https://arxiv.org/abs/1312.6114

Current cited URL

Provenance, translation & verification

Archive node #044 · Historical node

Research masters & supplement references · 1

AI Art Genealogy Research Master · p. 15 · 044
Date as recorded: 2013
Auto-Encoding Variational Bayes ↗
Auto-Encoding Variational Bayes

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Cite this node

ANTI-AI ARCHIVE. Auto-Encoding Variational Bayes. Art-history node #044. https://salondesrefuses.cn/en/art-history/044

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