Machine Learning, Generative Model, Bayesian Machine Learning.
VAEs learn a stochastic mapping from input observations to latent variables, and then another stochastic mapping from latent variables, z, to reconstructed input (since this is an autoencoder), all the while trying to optimize for the twin goals of creating a good reconstruction of the data, and