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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 ...

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 ...

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 ...