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Picture for Sébastien Racanière

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 

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Physically Embedded Planning Problems: New Challenges for Reinforcement Learning


Sep 11, 2020
Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Peter Karkus, Sébastien Racanière, Lars Buesing, Timothy Lillicrap, Nicolas Heess


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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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Disentangling by Subspace Diffusion


Jun 23, 2020
David Pfau, Irina Higgins, Aleksandar Botev, Sébastien Racanière

* 21 pages, 13 figures 

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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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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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An investigation of model-free planning


Jan 11, 2019
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy Lillicrap


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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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