Learns an encoder to a latent distribution and a decoder back, trained on a lower bound of the likelihood. Gives a latent space you can interpolate in, at the cost of blurry samples.
supersedescorrects · extends
classifiesspecializes · part-of
substitutes forapproximates · alternative-to
depends onrequires · validates
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requiresdoes not work without Monte Carlo Integrationthe bound is estimated by sampling the latent
Referenced by
alternative-toGenerative Adversarial Network is a competing approach to thisan adversarial critic instead of a likelihood bound
requiresLatent Diffusion does not work without thisthe latent space it works in comes from one
References
Auto-Encoding Variational Bayes — Kingma, Welling — 2013 · link