3 docs tagged with "generative-models"

Forward noising, learned reverse transitions, noise-prediction training, iterative sampling, conditioning, and computational trade-offs.

A compact map of latent-variable and diffusion approaches to learning data distributions.

Latent-variable generative models trained with amortized variational inference, the ELBO, and reparameterized gradients.