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Sampling using $SU(N)$ gauge equivariant flows

Aug 12, 2020
Denis Boyda, Gurtej Kanwar, Sébastien Racanière, Danilo Jimenez Rezende, Michael S. Albergo, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan

* 22 pages, 19 figures 

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Neural Communication Systems with Bandwidth-limited Channel

Apr 01, 2020
Karen Ullrich, Fabio Viola, Danilo Jimenez Rezende


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Equivariant flow-based sampling for lattice gauge theory

Mar 13, 2020
Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan

* 6 pages, 4 figures 

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Targeted free energy estimation via learned mappings

Feb 12, 2020
Peter Wirnsberger, Andrew J. Ballard, George Papamakarios, Stuart Abercrombie, Sébastien Racanière, Alexander Pritzel, Danilo Jimenez Rezende, Charles Blundell

* 10 pages, 5 figures 

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Normalizing Flows on Tori and Spheres

Feb 06, 2020
Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer


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Normalizing Flows for Probabilistic Modeling and Inference

Dec 05, 2019
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan

* Review article. 60 pages, 4 figures 

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Information bottleneck through variational glasses

Dec 05, 2019
Slava Voloshynovskiy, Mouad Kondah, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Danilo Jimenez Rezende


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Hamiltonian Generative Networks

Sep 30, 2019
Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins


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Equivariant Hamiltonian Flows

Sep 30, 2019
Danilo Jimenez Rezende, Sébastien Racanière, Irina Higgins, Peter Toth


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Shaping Belief States with Generative Environment Models for RL

Jun 24, 2019
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aaron van den Oord

* pre-print 

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A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

May 30, 2019
Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger

* 25 pages, 15 figures 

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A Probabilistic U-Net for Segmentation of Ambiguous Images

Oct 29, 2018
Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger

* 11 pages for the main paper, 28 pages including appendix. 5 figures in the main paper, 18 figures in total, Advances in Neural Information Processing Systems (NIPS), 2018 

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Taming VAEs

Oct 01, 2018
Danilo Jimenez Rezende, Fabio Viola


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Generative Temporal Models with Spatial Memory for Partially Observed Environments

Jul 19, 2018
Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola

* ICML 2018 

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Unsupervised Learning of 3D Structure from Images

Jun 19, 2018
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, Nicolas Heess

* Appears in Advances in Neural Information Processing Systems 29 (NIPS 2016) 

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Imagination-Augmented Agents for Deep Reinforcement Learning

Feb 14, 2018
Théophane Weber, Sébastien Racanière, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adria Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Silver, Daan Wierstra


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Variational Intrinsic Control

Nov 22, 2016
Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra

* 15 pages, 6 figures 

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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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Towards Conceptual Compression

Apr 29, 2016
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra

* 14 pages, 13 figures 

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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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DRAW: A Recurrent Neural Network For Image Generation

May 20, 2015
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra


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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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