673 citations · 1k across the 10 of their papers we have counts for
4 papers · 1 filter
Planning in Dynamic Environments with Conditional Autoregressive Models
Johanna Hansen, Kyle Kastner, Aaron Courville +1
We demonstrate the use of conditional autoregressive generative models (van den Oord et al., 2016a) over a discrete latent space (van den Oord et al., 2017b) for forward planning w…
Representation Mixing for TTS Synthesis
Kyle Kastner, João Felipe Santos, Yoshua Bengio +1
Recent character and phoneme-based parametric TTS systems using deep learning have shown strong performance in natural speech generation. However, the choice between character or p…
Learning Distributed Representations from Reviews for Collaborative Filtering
Amjad Almahairi, Kyle Kastner, Kyunghyun Cho +1
Recent work has shown that collaborative filter-based recommender systems can be improved by incorporating side information, such as natural language reviews, as a way of regulariz…
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung, Kyle Kastner, Laurent Dinh +3
In this paper, we explore the inclusion of latent random variables into the dynamic hidden state of a recurrent neural network (RNN) by combining elements of the variational autoen…