Glossary · Models & inference
VAE (Variational Autoencoder)
A latent-variable model trained with a reconstruction objective and a regularization term that keeps an approximate posterior close to a chosen prior. The reparameterization estimator allows gradients through stochastic latent sampling.
Common confusion
A VAE does not force every latent distribution to one fixed Gaussian; the exact prior and approximate posterior are modeling choices.
Related terms
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