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Aspects of scaling and scalability for flow-based sampling of lattice QCD


Nov 14, 2022
Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Alexander G. D. G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban

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* 22 pages, 8 figures 

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Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions


Jul 18, 2022
Ryan Abbott, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Betsy Tian, Julian M. Urban

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* 13 pages, 5 figures 

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Flow-based sampling in the lattice Schwinger model at criticality


Feb 23, 2022
Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban

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* 5 pages main text, 3 pages supplementary material. 4 figures 

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Continual Repeated Annealed Flow Transport Monte Carlo


Jan 31, 2022
Alexander G. D. G. Matthews, Michael Arbel, Danilo J. Rezende, Arnaud Doucet

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* 21 pages, 6 figures 

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Implicit Riemannian Concave Potential Maps


Oct 04, 2021
Danilo J. Rezende, Sébastien Racanière

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Flow-based sampling for fermionic lattice field theories


Jun 10, 2021
Michael S. Albergo, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Julian M. Urban, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan

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* 26 pages, 5 figures 

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NeRF-VAE: A Geometry Aware 3D Scene Generative Model


Apr 01, 2021
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, SoŇąa Mokr√°, Danilo J. Rezende

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* 17 pages, 15 figures, under review 

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Amortized learning of neural causal representations


Aug 21, 2020
Nan Rosemary Ke, Jane. X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende

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* ICLR 2020 causal learning for decision making workshop 

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Causally Correct Partial Models for Reinforcement Learning


Feb 07, 2020
Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing

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Towards Interpretable Reinforcement Learning Using Attention Augmented Agents


Jun 06, 2019
Alex Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo J. Rezende

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