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Authors propose Variational Auto-Encoders (VAEs) for time series ... The Interpretable TimeVAE uses the same encoder structure as that of the Base TimeVAE. The decoder uses parallel blocks ...

A Pytorch implementation of Semi-Implicit Graph Variational Auto-Encoders. The work is programed with python3/3.6.3 and torch 1.4.0 We had a minor adjustment on the encoder structure, namely, instead ...

Both the neural parameters and Bayesian priors are learned jointly using tailored variational inference. The resulting model induces a hierarchical structure of latent semantic concepts underlying the ...