| Neural scene representation and rendering SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ... Science 360 (6394), 1204-1210, 2018 | 285 | 2018 |
| 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 | 221 | 2014 |
| Towards conceptual compression K Gregor, F Besse, DJ Rezende, I Danihelka, D Wierstra arXiv preprint arXiv:1604.08772, 2016 | 197 | 2016 |
| 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 | 90 | 2016 |
| Temporal difference variational auto-encoder K Gregor, G Papamakarios, F Besse, L Buesing, T Weber arXiv preprint arXiv:1806.03107, 2018 | 59 | 2018 |
| 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 | 59 | 2018 |
| 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 | 38 | 2014 |
| 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 | 29 | 2019 |
| 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 | 20 | 2019 |
| 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 | 18 | 2018 |
| 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 | 14 | 2018 |
| 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 | 5 | 2018 |
| Method and apparatus for echo cancellation LG Petersen, G Larsson, P Wiss, S Pudas US Patent App. 10/432,953, 2004 | 3 | 2004 |
| 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 | 2 | 2020 |
| Scene understanding and generation using neural networks DJ Rezende, SM Eslami, K Gregor, FO Besse US Patent App. 16/403,278, 2019 | 2 | 2019 |
| PatchMatch Belief Propagation for Correspondence Field Estimation and Its Applications FO Besse UCL (University College London), 2013 | 2 | 2013 |
| Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm K Gregor, F Besse arXiv e-prints, arXiv: 2101.07627, 2021 | | 2021 |
| SELF-ORGANIZING INTELLIGENT MATTER: A K Gregor, F Besse, UK DeepMind 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 |
