Groups
A Variational Autoencoder (VAE) is a probabilistic autoencoder that learns to generate data by inferring hidden causes (latent variables) and decoding them back to observations.
Maximum Likelihood Estimation (MLE) picks parameters that make the observed data most probable under a chosen probabilistic model.