3.3k citations · 5.6k across the 26 of their papers we have counts for
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2 papers · 1 filter
cs.AI2017★ 14 cited
Prediction Under Uncertainty with Error-Encoding Networks
Mikael Henaff, Junbo Zhao, Yann LeCun
In this work we introduce a new framework for performing temporal predictions in the presence of uncertainty. It is based on a simple idea of disentangling components of the future…
cs.LG2017★ 38 cited
Adversarially Regularized Autoencoders
Jake Zhao, Yoon Kim, Kelly Zhang +2
Deep latent variable models, trained using variational autoencoders or generative adversarial networks, are now a key technique for representation learning of continuous structures…