| Conditional neural processes M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ... International conference on machine learning, 1704-1713, 2018 | 845 | 2018 |
| Neural scene representation and rendering SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ... Science 360 (6394), 1204-1210, 2018 | 754 | 2018 |
| Neural processes M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ... arXiv preprint arXiv:1807.01622, 2018 | 678 | 2018 |
| Attentive neural processes H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ... arXiv preprint arXiv:1901.05761, 2019 | 493 | 2019 |
| Pedestrian collision warning system D Rosenbaum, A Gurman, Y Samet, GP Stein, D Aloni US Patent 9,233,659, 2016 | 306 | 2016 |
| From data to functa: Your data point is a function and you can treat it like one E Dupont, H Kim, SM Eslami, D Rezende, D Rosenbaum arXiv preprint arXiv:2201.12204, 2022 | 192 | 2022 |
| Forward collision warning trap and pedestrian advanced warning system D Rosenbaum, A Gurman, G Stein US Patent 9,251,708, 2016 | 175 | 2016 |
| SeaThru-NeRF: Neural radiance fields in scattering media D Levy, A Peleg, N Pearl, D Rosenbaum, D Akkaynak, S Korman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 62 | 2023 |
| Unsupervised doodling and painting with improved spiral JFJ Mellor, E Park, Y Ganin, I Babuschkin, T Kulkarni, D Rosenbaum, ... arXiv preprint arXiv:1910.01007, 2019 | 55 | 2019 |
| Empirical evaluation of neural process objectives TA Le, H Kim, M Garnelo, D Rosenbaum, J Schwarz, YW Teh NeurIPS workshop on Bayesian Deep Learning 4, 2018 | 51 | 2018 |
| Inferring a continuous distribution of atom coordinates from cryo-EM images using VAEs D Rosenbaum, M Garnelo, M Zielinski, C Beattie, E Clancy, A Huber, ... arXiv preprint arXiv:2106.14108, 2021 | 50 | 2021 |
| Subspace learning with partial information A Gonen, D Rosenbaum, YC Eldar, S Shalev-Shwartz Journal of Machine Learning Research 17 (52), 1-21, 2016 | 41 | 2016 |
| Learning the local statistics of optical flow D Rosenbaum, D Zoran, Y Weiss Advances in Neural Information Processing Systems 26, 2013 | 38 | 2013 |
| 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 | 34 | 2018 |
| Spatial functa: Scaling functa to imagenet classification and generation M Bauer, E Dupont, A Brock, D Rosenbaum, JR Schwarz, H Kim arXiv preprint arXiv:2302.03130, 2023 | 31 | 2023 |
| The return of the gating network: Combining generative models and discriminative training in natural image priors D Rosenbaum, Y Weiss Advances in Neural Information Processing Systems 28, 2015 | 15 | 2015 |
| Neural network systems implementing conditional neural processes for efficient learning TMSP Ramalho, D Rosenbaum, M Garnelo, C Maddison, SM Eslami, ... US Patent App. 16/968,336, 2021 | 11 | 2021 |
| Pedestrian collision warning system D Rosenbaum, A Gurman, Y Samet, GP Stein, D Aloni US Patent 9,925,939, 2018 | 9 | 2018 |
| The sample complexity of subspace learning with partial information A Gonen, D Rosenbaum, Y Eldar, S Shalev-Shwartz arXiv preprint arXiv:1402.4844 1 (3.1), 3.2, 2014 | 8 | 2014 |
| Osmosis: Rgbd diffusion prior for underwater image restoration OB Nathan, D Levy, T Treibitz, D Rosenbaum European Conference on Computer Vision, 302-319, 2024 | 3 | 2024 |
S. M. Ali EslamiGoogle DeepMindDirección de correo verificada de google.com
