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Frederic Besse
Frederic Besse
DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Neural scene representation and rendering
SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ...
Science 360 (6394), 1204-1210, 2018
4752018
Pmbp: Patchmatch belief propagation for correspondence field estimation
F Besse, C Rother, A Fitzgibbon, J Kautz
International Journal of Computer Vision 110 (1), 2-13, 2014
2592014
Towards conceptual compression
K Gregor, F Besse, D Jimenez Rezende, I Danihelka, D Wierstra
Advances In Neural Information Processing Systems 29, 2016
2442016
Convolution by evolution: Differentiable pattern producing networks
C Fernando, D Banarse, M Reynolds, F Besse, D Pfau, M Jaderberg, ...
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 109-116, 2016
1082016
Temporal difference variational auto-encoder
K Gregor, G Papamakarios, F Besse, L Buesing, T Weber
arXiv preprint arXiv:1806.03107, 2018
1032018
Learning and querying fast generative models for reinforcement learning
L Buesing, T Weber, S Racaniere, SM Eslami, D Rezende, DP Reichert, ...
arXiv preprint arXiv:1802.03006, 2018
892018
Shaping belief states with generative environment models for rl
K Gregor, D Jimenez Rezende, F Besse, Y Wu, H Merzic, A van den Oord
Advances in Neural Information Processing Systems 32, 2019
602019
Highly overparameterized optical flow using patchmatch belief propagation
M Hornáček, F Besse, J Kautz, A Fitzgibbon, C Rother
European Conference on Computer Vision, 220-234, 2014
402014
Learning models for visual 3d localization with implicit mapping
D Rosenbaum, F Besse, F Viola, DJ Rezende, SM Eslami
arXiv preprint arXiv:1807.03149, 2018
232018
TF-Replicator: Distributed machine learning for researchers
P Buchlovsky, D Budden, D Grewe, C Jones, J Aslanides, F Besse, ...
arXiv preprint arXiv:1902.00465, 2019
222019
Demis Hassabis, et al. Learning and querying fast generative models for reinforcement learning
L Buesing, T Weber, S Racaniere, SM Eslami, D Rezende, DP Reichert, ...
arXiv preprint arXiv:1802.03006, 2018
222018
Causally correct partial models for reinforcement learning
DJ Rezende, I Danihelka, G Papamakarios, NR Ke, R Jiang, T Weber, ...
arXiv preprint arXiv:2002.02836, 2020
142020
Encoding spatial relations from natural language
T Ramalho, T Kočiský, F Besse, SM Eslami, G Melis, F Viola, P Blunsom, ...
arXiv preprint arXiv:1807.01670, 2018
122018
PatchMatch Belief Propagation for Correspondence Field Estimation and Its Applications
FO Besse
UCL (University College London), 2013
62013
Scene understanding and generation using neural networks
DJ Rezende, SM Eslami, K Gregor, FO Besse
US Patent App. 16/403,278, 2019
42019
Self-organizing intelligent matter: A blueprint for an ai generating algorithm
K Gregor, F Besse
arXiv preprint arXiv:2101.07627, 2021
32021
Learning to encode spatial relations from natural language
T Ramalho, T Kocisky, F Besse, SMA Eslami, G Melis, F Viola, P Blunsom, ...
12018
Compressing images using neural networks
DP Wierstra, K Gregor, FO Besse
US Patent 11,336,908, 2022
2022
Learning Dynamic State Abstractions for Model-Based Reinforcement Learning
L Buesing, T Weber, S Racaniere, SMA Eslami, D Rezende, D Reichert, ...
2018
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