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Martin Krasser
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Latent variable models - part 2: Stochastic variational inference and variational autoencoders
December 17, 2019
Latent variable models - part 1: Gaussian mixture models and the EM algorithm
November 21, 2019
Single image super-resolution with deep neural networks
September 4, 2019
Variational inference in Bayesian neural networks
March 14, 2019
Bayesian regression with linear basis function models
February 23, 2019
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