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Learning to Induce Causal Structure


Apr 11, 2022
Nan Rosemary Ke, Silvia Chiappa, Jane Wang, Jorg Bornschein, Theophane Weber, Anirudh Goyal, Matthew Botvinic, Michael Mozer, Danilo Jimenez Rezende


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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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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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