| Stochastic backpropagation and approximate inference in deep generative models DJ Rezende, S Mohamed, D Wierstra International Conference on Machine Learning, 2014, 2014 | 6032 | 2014 |
| Variational Inference with Normalizing Flows D Jimenez Rezende, S Mohamed The 32nd International Conference on Machine Learning, 2015 | 4443 | 2015 |
| Semi-Supervised Learning with Deep Generative Models MW Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende NIPS2014, 2014 | 3621* | 2014 |
| DRAW: A Recurrent Neural Network For Image Generation K Gregor, I Danihelka, A Graves, D Jimenez Rezende, D Wierstra arxiv preprint, 2015 | 2503 | 2015 |
| Interaction networks for learning about objects, relations and physics P Battaglia, R Pascanu, M Lai, D Jimenez Rezende Advances in neural information processing systems 29, 2016 | 1687 | 2016 |
| Normalizing Flows for Probabilistic Modeling and Inference G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ... Journal of Machine Learning Research 22 (57), 1-64, 2021 | 1663 | 2021 |
| Conditional neural processes M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ... International Conference on Machine Learning, 1704-1713, 2018 | 784 | 2018 |
| Neural scene representation and rendering SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ... Science 360 (6394), 1204-1210, 2018 | 722 | 2018 |
| Neural Processes M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ... arXiv preprint arXiv:1807.01622, 2018 | 623 | 2018 |
| A probabilistic u-net for segmentation of ambiguous images S Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ... Advances in neural information processing systems, 6965-6975, 2018 | 608 | 2018 |
| Towards a Definition of Disentangled Representations I Higgins, D Amos, D Pfau, S Racaniere, L Matthey, D Rezende, ... arXiv preprint arXiv:1812.02230, 2018 | 558 | 2018 |
| Imagination-augmented agents for deep reinforcement learning S Racanière, T Weber, D Reichert, L Buesing, A Guez, ... Advances in neural information processing systems 30, 2017 | 473 | 2017 |
| Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S Mohamed, D Jimenez Rezende Proceedings of the 29th Conference on Neural Information Processing Systems …, 2015 | 465 | 2015 |
| Unsupervised learning of 3d structure from images D Jimenez Rezende, SM Eslami, S Mohamed, P Battaglia, M Jaderberg, ... Advances in neural information processing systems 29, 4996-5004, 2016 | 454 | 2016 |
| Variational Intrinsic Control K Gregor, DJ Rezende, D Wierstra arXiv preprint arXiv:1611.07507, 2016 | 449 | 2016 |
| Variational inference for monte carlo objectives A Mnih, D Rezende International Conference on Machine Learning, 2188-2196, 2016 | 338 | 2016 |
| One-shot generalization in deep generative models D Rezende, I Danihelka, K Gregor, D Wierstra International Conference on Machine Learning, 1521-1529, 2016 | 313 | 2016 |
| Towards conceptual compression K Gregor, F Besse, D Jimenez Rezende, I Danihelka, D Wierstra Advances In Neural Information Processing Systems 29, 3549-3557, 2016 | 279 | 2016 |
| Imagination-augmented agents for deep reinforcement learning T Weber, S Racanière, DP Reichert, L Buesing, A Guez, DJ Rezende, ... arXiv preprint arXiv:1707.06203, 2017 | 255 | 2017 |
| Hamiltonian Generative Networks P Toth, DJ Rezende, A Jaegle, S Racanière, A Botev, I Higgins arXiv preprint arXiv:1909.13789, 2019 | 237 | 2019 |
Shakir MohamedResearch Director, Google DeepMindVerified email at deepmind.com
