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ORCIDFrederic Besse
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2020 – today
- 2024
[i11]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 abs/2404.10179 (2024)- 2021
- [i10]Karol Gregor, Frederic Besse:
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm. CoRR abs/2101.07627 (2021) - 2020
- [i9]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 abs/2002.02836 (2020)
2010 – 2019
- 2019
- [c6]Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber:
Temporal Difference Variational Auto-Encoder. ICLR 2019 - [c5]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: 13475-13487 - [i8]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 abs/1902.00465 (2019) - [i7]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 abs/1906.09237 (2019) - 2018
- [i6]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) - [i5]Karol Gregor, Frederic Besse:
Temporal Difference Variational Auto-Encoder. CoRR abs/1806.03107 (2018) - [i4]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 abs/1807.01670 (2018) - [i3]Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami:
Learning models for visual 3D localization with implicit mapping. CoRR abs/1807.03149 (2018) - 2016
- [c4]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: 109-116 - [c3]Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra:
Towards Conceptual Compression. NIPS 2016: 3549-3557 - [i2]Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra:
Towards Conceptual Compression. CoRR abs/1604.08772 (2016) - [i1]Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra:
Convolution by Evolution: Differentiable Pattern Producing Networks. CoRR abs/1606.02580 (2016) - 2014
- [j1]Frederic Besse, Carsten Rother, Andrew W. Fitzgibbon, Jan Kautz:
PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. Int. J. Comput. Vis. 110(1): 2-13 (2014) - [c2]Michael Hornacek, Frederic Besse, Jan Kautz, Andrew W. Fitzgibbon, Carsten Rother:
Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation. ECCV (3) 2014: 220-234 - 2012
- [c1]Frederic Besse, Carsten Rother, Andrew W. Fitzgibbon, Jan Kautz:
PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. BMVC 2012: 1-11
Coauthor Index
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