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Frederic Besse
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2020 – today
- 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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