Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Danilo Jimenez Rezende

Introduction to Normalizing Flows for Lattice Field Theory


Jan 20, 2021
Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Kyle Cranmer, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan

* 38 pages, 5 numbered figures, Jupyter notebook included as ancillary file 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Neural Communication Systems with Bandwidth-limited Channel


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Information bottleneck through variational glasses


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


  Access Paper or Ask Questions

Hamiltonian Generative Networks


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


  Access Paper or Ask Questions

Equivariant Hamiltonian Flows


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Taming VAEs


Oct 01, 2018
Danilo Jimenez Rezende, Fabio Viola


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Variational Intrinsic Control


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

* 15 pages, 6 figures 

  Access Paper or Ask Questions

Variational Inference with Normalizing Flows


Jun 14, 2016
Danilo Jimenez Rezende, Shakir Mohamed

* Proceedings of the 32nd International Conference on Machine Learning 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Towards Conceptual Compression


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

* 14 pages, 13 figures 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

DRAW: A Recurrent Neural Network For Image Generation


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions