Frederic Besse
Frederic Besse
DeepMind
google.com의 이메일 확인됨
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Neural scene representation and rendering
SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ...
Science 360 (6394), 1204-1210, 2018
3342018
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
2322014
Towards conceptual compression
K Gregor, F Besse, DJ Rezende, I Danihelka, D Wierstra
arXiv preprint arXiv:1604.08772, 2016
2112016
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
922016
Temporal difference variational auto-encoder
K Gregor, G Papamakarios, F Besse, L Buesing, T Weber
arXiv preprint arXiv:1806.03107, 2018
662018
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
652018
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
382014
Shaping belief states with generative environment models for rl
K Gregor, DJ Rezende, F Besse, Y Wu, H Merzic, A Oord
arXiv preprint arXiv:1906.09237, 2019
372019
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
212019
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
192018
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
152018
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
82018
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
52020
PatchMatch Belief Propagation for Correspondence Field Estimation and Its Applications
FO Besse
UCL (University College London), 2013
42013
Scene understanding and generation using neural networks
DJ Rezende, SM Eslami, K Gregor, FO Besse
US Patent App. 16/403,278, 2019
32019
Method and apparatus for echo cancellation
LG Petersen, G Larsson, P Wiss, S Pudas
US Patent App. 10/432,953, 2004
32004
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm
K Gregor, F Besse
arXiv preprint arXiv:2101.07627, 2021
2021
Compressing images using neural networks
DP Wierstra, K Gregor, FO Besse
US Patent App. 16/586,837, 2020
2020
Learning to encode spatial relations from natural language
T Ramalho, T Kocisky, F Besse, SMA Eslami, G Melis, F Viola, P Blunsom, ...
2018
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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