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Latent variable models, part 2

Stochastic variational inference and variational autoencoders

Latent variable models, part 1

Gaussian mixture models and the EM algorithm

Single image super-resolution with deep neural networks

Variational inference in Bayesian neural networks

Bayesian regression with linear basis function models