Assessing the predictive uncertainty of deep neural networks is crucial ...
Variational autoencoders employ an amortized inference model to approxim...
We present neural activation coding (NAC) as a novel approach for learni...
Variational autoencoders (VAE) combined with hierarchical RNNs have emer...
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