Machine Learning, Generative Model, Bayesian Machine Learning.
also having the latent variable values that are generated for the training set be close to some prior we have over z, for example, that it be Gaussian with a fixed mean. These stochastic mappings use neural networks to map between the input data and the mean/variance parameters of the latent