Sébastien Racanière

44 papers A* 6C 1Misc 1Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing Geometry with AI: Multi-agent Generation of Polytopes. CoRR Grzegorz Swirszcz, Adam Zsolt Wagner, Geordie Williamson, Sam Blackwell, Bogdan Georgiev, Alex Davies, S. M. Ali Eslami, Sébastien Racanière, Theophane Weber, Pushmeet Kohli
2025	J	`jnl`	Drums of high width. CoRR Alex Davies, Prateek Gupta, Sébastien Racanière, Grzegorz Swirszcz, Adam Zsolt Wagner, Theophane Weber, Geordie Williamson
2024	J	`jnl`	Applications of flow models to the generation of correlated lattice QCD ensembles. CoRR 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
2023	J	`jnl`	Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics. CoRR Kyle Cranmer, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Phiala E. Shanahan
2023	J	`jnl`	Normalizing flows for lattice gauge theory in arbitrary space-time dimension. CoRR 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
2022	J	`jnl`	Aspects of scaling and scalability for flow-based sampling of lattice QCD. CoRR 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
2022	J	`jnl`	Flow-based sampling in the lattice Schwinger model at criticality. CoRR 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
2022	J	`jnl`	Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions. CoRR 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
2022	J	`jnl`	Normalizing flows for atomic solids. Mach. Learn. Sci. Technol. Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell
2022	J	`jnl`	Symmetry-Based Representations for Artificial and Biological General Intelligence. CoRR Irina Higgins, Sébastien Racanière, Danilo J. Rezende
2022	J	`jnl`	Symmetry-Based Representations for Artificial and Biological General Intelligence. Frontiers Comput. Neurosci. Irina Higgins, Sébastien Racanière, Danilo J. Rezende
2021	J	`jnl`	Flow-based sampling for fermionic lattice field theories. CoRR Michael S. Albergo, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Julian M. Urban, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan
2021	J	`jnl`	Implicit Riemannian Concave Potential Maps. CoRR Danilo J. Rezende, Sébastien Racanière
2021	J	`jnl`	Introduction to Normalizing Flows for Lattice Field Theory. CoRR Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Kyle Cranmer, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan
2020	A*	`conf`	Automated curriculum generation through setter-solver interactions. ICLR Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap
2020	A*	`conf`	Disentangling by Subspace Diffusion. NeurIPS David Pfau, Irina Higgins, Aleksandar Botev, Sébastien Racanière
2020	J	`jnl`	Disentangling by Subspace Diffusion. CoRR David Pfau, Irina Higgins, Aleksandar Botev, Sébastien Racanière
2020	J	`jnl`	Equivariant flow-based sampling for lattice gauge theory. CoRR Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan
2020	A*	`conf`	Hamiltonian Generative Networks. ICLR Peter Toth, Danilo J. Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins
2020	A*	`conf`	Normalizing Flows on Tori and Spheres. ICML Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
2020	J	`jnl`	Normalizing Flows on Tori and Spheres. CoRR Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer
2020	J	`jnl`	Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. CoRR 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
2020	J	`jnl`	Sampling using SU(N) gauge equivariant flows. CoRR Denis Boyda, Gurtej Kanwar, Sébastien Racanière, Danilo Jimenez Rezende, Michael S. Albergo, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan
2019	A*	`conf`	An Investigation of Model-Free Planning. ICML 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
2019	J	`jnl`	An investigation of model-free planning. CoRR 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
2019	J	`jnl`	Automated curricula through setter-solver interactions. CoRR Sébastien Racanière, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap
2019	J	`jnl`	Differentiable Game Mechanics. CoRR Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
2019	J	`jnl`	Differentiable Game Mechanics. J. Mach. Learn. Res. Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
2019	J	`jnl`	Equivariant Hamiltonian Flows. CoRR Danilo Jimenez Rezende, Sébastien Racanière, Irina Higgins, Peter Toth
2019	J	`jnl`	Hamiltonian Generative Networks. CoRR Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins
2019	—	`conf`	Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search. ICLR (Poster) Lars Buesing, Theophane Weber, Yori Zwols, Nicolas Heess, Sébastien Racanière, Arthur Guez, Jean-Baptiste Lespiau
2018	J	`jnl`	Learning and Querying Fast Generative Models for Reinforcement Learning. CoRR 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
2018	A*	`conf`	The Mechanics of n-Player Differentiable Games. ICML David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
2018	J	`jnl`	The Mechanics of n-Player Differentiable Games. CoRR David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
2018	J	`jnl`	Towards a Definition of Disentangled Representations. CoRR Irina Higgins, David Amos, David Pfau, Sébastien Racanière, Loïc Matthey, Danilo J. Rezende, Alexander Lerchner
2018	J	`jnl`	Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search. CoRR Lars Buesing, Theophane Weber, Yori Zwols, Sébastien Racanière, Arthur Guez, Jean-Baptiste Lespiau, Nicolas Heess
2017	—	`conf`	Imagination-Augmented Agents for Deep Reinforcement Learning. NIPS 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
2017	J	`jnl`	Imagination-Augmented Agents for Deep Reinforcement Learning. CoRR 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
2017	J	`jnl`	Learning model-based planning from scratch. CoRR Razvan Pascanu, Yujia Li, Oriol Vinyals, Nicolas Heess, Lars Buesing, Sébastien Racanière, David P. Reichert, Theophane Weber, Daan Wierstra, Peter W. Battaglia
2017	—	`conf`	Recurrent Environment Simulators. ICLR (Poster) Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed
2017	J	`jnl`	Recurrent Environment Simulators. CoRR Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed
2013	Misc	`conf`	An FPGA-Based Data Flow Engine for Gaussian Copula Model. FCCM Huabin Ruan, Xiaomeng Huang, Haohuan Fu, Guangwen Yang, Wayne Luk, Sébastien Racanière, Oliver Pell, Wenjing Han
2012	J	`jnl`	Rapid computation of value and risk for derivatives portfolios. Concurr. Comput. Pract. Exp. Stephen Weston, James Spooner, Sébastien Racanière, Oskar Mencer
2011	C	`conf`	Accelerating Large-Scale HPC Applications Using FPGAs. IEEE Symposium on Computer Arithmetic Robert G. Dimond, Sébastien Racanière, Oliver Pell