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Sébastien Racanière
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2020 – today
- 2024
- [i27]Ryan Abbott, Aleksandar Botev, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban:
Applications of flow models to the generation of correlated lattice QCD ensembles. CoRR abs/2401.10874 (2024) - 2023
- [i26]Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Alexander G. de G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban:
Normalizing flows for lattice gauge theory in arbitrary space-time dimension. CoRR abs/2305.02402 (2023) - [i25]Kyle Cranmer, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Phiala E. Shanahan:
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics. CoRR abs/2309.01156 (2023) - 2022
- [j4]Irina Higgins, Sébastien Racanière, Danilo J. Rezende:
Symmetry-Based Representations for Artificial and Biological General Intelligence. Frontiers Comput. Neurosci. 16: 836498 (2022) - [j3]Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell:
Normalizing flows for atomic solids. Mach. Learn. Sci. Technol. 3(2): 25009 (2022) - [i24]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:
Flow-based sampling in the lattice Schwinger model at criticality. CoRR abs/2202.11712 (2022) - [i23]Irina Higgins, Sébastien Racanière, Danilo J. Rezende:
Symmetry-Based Representations for Artificial and Biological General Intelligence. CoRR abs/2203.09250 (2022) - [i22]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:
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions. CoRR abs/2207.08945 (2022) - [i21]Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Alexander G. de G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban:
Aspects of scaling and scalability for flow-based sampling of lattice QCD. CoRR abs/2211.07541 (2022) - 2021
- [i20]Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Kyle Cranmer, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan:
Introduction to Normalizing Flows for Lattice Field Theory. CoRR abs/2101.08176 (2021) - [i19]Michael S. Albergo, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Julian M. Urban, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan:
Flow-based sampling for fermionic lattice field theories. CoRR abs/2106.05934 (2021) - [i18]Danilo J. Rezende, Sébastien Racanière:
Implicit Riemannian Concave Potential Maps. CoRR abs/2110.01288 (2021) - 2020
- [c11]Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap:
Automated curriculum generation through setter-solver interactions. ICLR 2020 - [c10]Peter Toth, Danilo J. Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins:
Hamiltonian Generative Networks. ICLR 2020 - [c9]Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer:
Normalizing Flows on Tori and Spheres. ICML 2020: 8083-8092 - [c8]David Pfau, Irina Higgins, Aleksandar Botev, Sébastien Racanière:
Disentangling by Subspace Diffusion. NeurIPS 2020 - [i17]Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer:
Normalizing Flows on Tori and Spheres. CoRR abs/2002.02428 (2020) - [i16]Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan:
Equivariant flow-based sampling for lattice gauge theory. CoRR abs/2003.06413 (2020) - [i15]David Pfau, Irina Higgins, Aleksandar Botev, Sébastien Racanière:
Disentangling by Subspace Diffusion. CoRR abs/2006.12982 (2020) - [i14]Denis Boyda, Gurtej Kanwar, Sébastien Racanière, Danilo Jimenez Rezende, Michael S. Albergo, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan:
Sampling using SU(N) gauge equivariant flows. CoRR abs/2008.05456 (2020) - [i13]Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Péter Karkus, Sébastien Racanière, Lars Buesing, Timothy P. Lillicrap, Nicolas Heess:
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. CoRR abs/2009.05524 (2020)
2010 – 2019
- 2019
- [j2]Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
Differentiable Game Mechanics. J. Mach. Learn. Res. 20: 84:1-84:40 (2019) - [c7]Lars Buesing, Theophane Weber, Yori Zwols, Nicolas Heess, Sébastien Racanière, Arthur Guez, Jean-Baptiste Lespiau:
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search. ICLR (Poster) 2019 - [c6]Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap:
An Investigation of Model-Free Planning. ICML 2019: 2464-2473 - [i12]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 P. Lillicrap:
An investigation of model-free planning. CoRR abs/1901.03559 (2019) - [i11]Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
Differentiable Game Mechanics. CoRR abs/1905.04926 (2019) - [i10]Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap:
Automated curricula through setter-solver interactions. CoRR abs/1909.12892 (2019) - [i9]Danilo Jimenez Rezende, Sébastien Racanière, Irina Higgins, Peter Toth:
Equivariant Hamiltonian Flows. CoRR abs/1909.13739 (2019) - [i8]Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins:
Hamiltonian Generative Networks. CoRR abs/1909.13789 (2019) - 2018
- [c5]David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
The Mechanics of n-Player Differentiable Games. ICML 2018: 363-372 - [i7]Lars Buesing, Theophane Weber, Sébastien Racanière, S. M. Ali Eslami, Danilo Jimenez Rezende, David P. Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis, Daan Wierstra:
Learning and Querying Fast Generative Models for Reinforcement Learning. CoRR abs/1802.03006 (2018) - [i6]David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
The Mechanics of n-Player Differentiable Games. CoRR abs/1802.05642 (2018) - [i5]Lars Buesing, Theophane Weber, Yori Zwols, Sébastien Racanière, Arthur Guez, Jean-Baptiste Lespiau, Nicolas Heess:
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search. CoRR abs/1811.06272 (2018) - [i4]Irina Higgins, David Amos, David Pfau, Sébastien Racanière, Loïc Matthey, Danilo J. Rezende, Alexander Lerchner:
Towards a Definition of Disentangled Representations. CoRR abs/1812.02230 (2018) - 2017
- [c4]Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed:
Recurrent Environment Simulators. ICLR (Poster) 2017 - [c3]Sébastien Racanière, Theophane Weber, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter W. Battaglia, Demis Hassabis, David Silver, Daan Wierstra:
Imagination-Augmented Agents for Deep Reinforcement Learning. NIPS 2017: 5690-5701 - [i3]Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed:
Recurrent Environment Simulators. CoRR abs/1704.02254 (2017) - [i2]Razvan Pascanu, Yujia Li, Oriol Vinyals, Nicolas Heess, Lars Buesing, Sébastien Racanière, David P. Reichert, Theophane Weber, Daan Wierstra, Peter W. Battaglia:
Learning model-based planning from scratch. CoRR abs/1707.06170 (2017) - [i1]Theophane Weber, Sébastien Racanière, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter W. Battaglia, David Silver, Daan Wierstra:
Imagination-Augmented Agents for Deep Reinforcement Learning. CoRR abs/1707.06203 (2017) - 2013
- [c2]Huabin Ruan, Xiaomeng Huang, Haohuan Fu, Guangwen Yang, Wayne Luk, Sébastien Racanière, Oliver Pell, Wenjing Han:
An FPGA-Based Data Flow Engine for Gaussian Copula Model. FCCM 2013: 218-225 - 2012
- [j1]Stephen Weston, James Spooner, Sébastien Racanière, Oskar Mencer:
Rapid computation of value and risk for derivatives portfolios. Concurr. Comput. Pract. Exp. 24(8): 880-894 (2012) - 2011
- [c1]Robert G. Dimond, Sébastien Racanière, Oliver Pell:
Accelerating Large-Scale HPC Applications Using FPGAs. IEEE Symposium on Computer Arithmetic 2011: 191-192
Coauthor Index
aka: Danilo J. Rezende
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