203 citations · 1.1k across the 46 of their papers we have counts for
Showing 2014Show all
3 papers · 1 filter
stat.ML2014★ 3 cited
On the Equivalence Between Deep NADE and Generative Stochastic Networks
Li Yao, Sherjil Ozair, Kyunghyun Cho +1
Neural Autoregressive Distribution Estimators (NADEs) have recently been shown as successful alternatives for modeling high dimensional multimodal distributions. One issue associat…
stat.ML2014★ 22 cited
Iterative Neural Autoregressive Distribution Estimator (NADE-k)
Tapani Raiko, Li Yao, Kyunghyun Cho +1
Training of the neural autoregressive density estimator (NADE) can be viewed as doing one step of probabilistic inference on missing values in data. We propose a new model that ext…
cs.LG2014★ 8 cited
Multimodal Transitions for Generative Stochastic Networks
Sherjil Ozair, Li Yao, Yoshua Bengio
Generative Stochastic Networks (GSNs) have been recently introduced as an alternative to traditional probabilistic modeling: instead of parametrizing the data distribution directly…