Sebastien PARIS

Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks

Deep Generative Networks (DGNs) with probabilistic modeling of their output and latent space are currently trained via Variational Autoencoders (VAEs). In the absence of a known analytical form for the posterior and likelihood expectation, VAEs resort to approximations, including (Amortized) Variati…