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Shakir Mohamed

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Variational Approaches for Auto-Encoding Generative Adversarial Networks

Oct 21, 2017
Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, Shakir Mohamed

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The Cramer Distance as a Solution to Biased Wasserstein Gradients

May 30, 2017
Marc G. Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, Rémi Munos

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Recurrent Environment Simulators

Apr 19, 2017
Silvia Chiappa, Sébastien Racaniere, Daan Wierstra, Shakir Mohamed

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Learning in Implicit Generative Models

Feb 27, 2017
Shakir Mohamed, Balaji Lakshminarayanan

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Generative Temporal Models with Memory

Feb 21, 2017
Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo J. Rezende, David Amos, Timothy Lillicrap

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Normalizing Flows on Riemannian Manifolds

Nov 09, 2016
Mevlana C. Gemici, Danilo Rezende, Shakir Mohamed

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Early Visual Concept Learning with Unsupervised Deep Learning

Sep 20, 2016
Irina Higgins, Loic Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner

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Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version

Aug 17, 2016
Marc Peter Deisenroth, Shakir Mohamed

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Variational Inference with Normalizing Flows

Jun 14, 2016
Danilo Jimenez Rezende, Shakir Mohamed

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One-Shot Generalization in Deep Generative Models

May 25, 2016
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra

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