Definition
Variational Autoencoder (VAE) is a generative model that encodes inputs into a structured probabilistic latent space and learns to decode samples from that space back into the original domain. In text applications, a VAE bridges the gap between discrete token sequences and the continuous representations that diffusion models require, with the shape and regularity of the resulting latent space having outsized consequences for downstream generation quality.