Frederic Besse

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 15

Top Topics

Belief Propagation

Temporal Difference

Reinforcement Learning

Top Venues

Int. J. Comput. Vis.

Publications

SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young
Scaling Instructable Agents Across Many Simulated Worlds. CoRR (2024)
Karol Gregor, Frederic Besse
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm. CoRR (2021)
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
Causally Correct Partial Models for Reinforcement Learning. CoRR (2020)
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
Shaping Belief States with Generative Environment Models for RL. CoRR (2019)
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
Shaping Belief States with Generative Environment Models for RL. NeurIPS (2019)
Peter Buchlovsky, David Budden, Dominik Grewe, Chris Jones, John Aslanides, Frederic Besse, Andy Brock, Aidan Clark, Sergio Gomez Colmenarejo, Aedan Pope, Fabio Viola, Dan Belov
TF-Replicator: Distributed Machine Learning for Researchers. CoRR (2019)
Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber
Temporal Difference Variational Auto-Encoder. ICLR (2019)
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)
Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami
Learning models for visual 3D localization with implicit mapping. CoRR (2018)
Karol Gregor, Frederic Besse
Temporal Difference Variational Auto-Encoder. CoRR (2018)
Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
Encoding Spatial Relations from Natural Language. CoRR (2018)
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
Towards Conceptual Compression. CoRR (2016)
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
Towards Conceptual Compression. NIPS (2016)
Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra
Convolution by Evolution: Differentiable Pattern Producing Networks. GECCO (2016)
Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra
Convolution by Evolution: Differentiable Pattern Producing Networks. CoRR (2016)
Frederic Besse, Carsten Rother, Andrew W. Fitzgibbon, Jan Kautz
PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. Int. J. Comput. Vis. 110 (1) (2014)
Michael Hornacek, Frederic Besse, Jan Kautz, Andrew W. Fitzgibbon, Carsten Rother
Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation. ECCV (3) (2014)
Frederic Besse, Carsten Rother, Andrew W. Fitzgibbon, Jan Kautz
PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. BMVC (2012)