Shakir Mohamed

Learning in Implicit Generative Models

Feb 27, 2017
Shakir Mohamed, Balaji Lakshminarayanan

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

* 3 pages, 2 figures, Submitted to Workshop on Bayesian Deep Learning at NIPS 2016

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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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* Advances in Neural Information Processing Systems 25 (NIPS), pp. 2609-2617, 2012

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Variational Inference with Normalizing Flows

Jun 14, 2016
Danilo Jimenez Rezende, Shakir Mohamed

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* Proceedings of the 32nd International Conference on Machine Learning

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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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* 8pgs, 1pg references, 1pg appendix, In Proceedings of the 33rd International Conference on Machine Learning, JMLR: W&CP volume 48, 2016

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Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

Sep 29, 2015
Shakir Mohamed, Danilo Jimenez Rezende

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* Proceedings of the 29th Conference on Neural Information Processing Systems (NIPS 2015)

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Semi-Supervised Learning with Deep Generative Models

Oct 31, 2014
Diederik P. Kingma, Danilo J. Rezende, Shakir Mohamed, Max Welling

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* To appear in the proceedings of Neural Information Processing Systems (NIPS) 2014

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Stochastic Backpropagation and Approximate Inference in Deep Generative Models

May 30, 2014
Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra

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* Appears In Proceedings of the 31st International Conference on Machine Learning (ICML), JMLR: W\&CP volume 32, 2014

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