Sébastien Racanière

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 39

Top Topics

Reinforcement Learning

Top Venues

Publications

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 (2024)
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 (2023)
Kyle Cranmer, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Phiala E. Shanahan
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics. CoRR (2023)
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 (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
Flow-based sampling in the lattice Schwinger model at criticality. CoRR (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
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions. CoRR (2022)
Irina Higgins, Sébastien Racanière, Danilo J. Rezende
Symmetry-Based Representations for Artificial and Biological General Intelligence. Frontiers Comput. Neurosci. 16 (2022)
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) (2022)
Irina Higgins, Sébastien Racanière, Danilo J. Rezende
Symmetry-Based Representations for Artificial and Biological General Intelligence. CoRR (2022)
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 (2021)
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 (2021)
Danilo J. Rezende, Sébastien Racanière
Implicit Riemannian Concave Potential Maps. CoRR (2021)
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 (2020)
David Pfau, Irina Higgins, Aleksandar Botev, Sébastien Racanière
Disentangling by Subspace Diffusion. CoRR (2020)
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 (2020)
Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
Normalizing Flows on Tori and Spheres. CoRR (2020)
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)
Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap
Automated curriculum generation through setter-solver interactions. ICLR (2020)
Peter Toth, Danilo J. Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins
Hamiltonian Generative Networks. ICLR (2020)
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 (2020)
David Pfau, Irina Higgins, Aleksandar Botev, Sébastien Racanière
Disentangling by Subspace Diffusion. NeurIPS (2020)
Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins
Hamiltonian Generative Networks. CoRR (2019)
Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap
Automated curricula through setter-solver interactions. CoRR (2019)
Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
Differentiable Game Mechanics. J. Mach. Learn. Res. 20 (2019)
Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
Differentiable Game Mechanics. CoRR (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 P. Lillicrap
An investigation of model-free planning. CoRR (2019)
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)
Danilo Jimenez Rezende, Sébastien Racanière, Irina Higgins, Peter Toth
Equivariant Hamiltonian Flows. CoRR (2019)
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)
Irina Higgins, David Amos, David Pfau, Sébastien Racanière, Loïc Matthey, Danilo J. Rezende, Alexander Lerchner
Towards a Definition of Disentangled Representations. CoRR (2018)
David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
The Mechanics of n-Player Differentiable Games. CoRR (2018)
Lars Buesing, Theophane Weber, Yori Zwols, Sébastien Racanière, Arthur Guez, Jean-Baptiste Lespiau, Nicolas Heess
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search. CoRR (2018)
David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
The Mechanics of n-Player Differentiable Games. ICML (2018)
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 (2018)
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)
Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed
Recurrent Environment Simulators. CoRR (2017)
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 (2017)
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 (2017)
Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed
Recurrent Environment Simulators. ICLR (Poster) (2017)
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)
Stephen Weston, James Spooner, Sébastien Racanière, Oskar Mencer
Rapid computation of value and risk for derivatives portfolios. Concurr. Comput. Pract. Exp. 24 (8) (2012)
Robert G. Dimond, Sébastien Racanière, Oliver Pell
Accelerating Large-Scale HPC Applications Using FPGAs. IEEE Symposium on Computer Arithmetic (2011)