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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

* 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

* 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

* 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

* 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

* 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

* 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

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

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