A Recurrent Latent Variable Model for Sequential Data

Annual Conference on Neural Information Processing Systems, 2015.

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Other Links: academic.microsoft.com|dblp.uni-trier.de|dl.acm.org|arxiv.org

Abstract:

In this paper, we explore the inclusion of latent random variables into the hidden state of a recurrent neural network (RNN) by combining the elements of the variational autoencoder. We argue that through the use of high-level latent random variables, the variational RNN (VRNN)1 can model the kind of variability observed in highly structu...More

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