| Stochastic Backpropagation and Approximate Inference in Deep Generative Models DJ Rezende, S Mohamed, D Wierstra The 31st International Conference on Machine Learning (ICML), 2014 | 4952 | 2014 |
| beta-vae: Learning basic visual concepts with a constrained variational framework I Higgins, L Matthey, A Pal, C Burgess, X Glorot, M Botvinick, S Mohamed, ... International conference on learning representations, 2017 | 3479 | 2017 |
| Semi-supervised learning with deep generative models DP Kingma, S Mohamed, D Jimenez Rezende, M Welling Advances in neural information processing systems 27, 2014 | 2924 | 2014 |
| Variational inference with normalizing flows D Rezende, S Mohamed International conference on machine learning, 1530-1538, 2015 | 2891 | 2015 |
| Normalizing flows for probabilistic modeling and inference G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ... The Journal of Machine Learning Research 22 (1), 2617-2680, 2021 | 831 | 2021 |
| A clinically applicable approach to continuous prediction of future acute kidney injury N Tomašev, X Glorot, JW Rae, M Zielinski, H Askham, A Saraiva, ... Nature 572 (7767), 116-119, 2019 | 636 | 2019 |
| 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, 2016 | 395 | 2016 |
| Variational information maximisation for intrinsically motivated reinforcement learning S Mohamed, D Jimenez Rezende Advances in neural information processing systems 28, 2015 | 395 | 2015 |
| Learning in implicit generative models S Mohamed, B Lakshminarayanan arXiv preprint arXiv:1610.03483, 2016 | 390 | 2016 |
| The cramer distance as a solution to biased wasserstein gradients MG Bellemare, I Danihelka, W Dabney, S Mohamed, ... arXiv preprint arXiv:1705.10743, 2017 | 337 | 2017 |
| Skilful precipitation nowcasting using deep generative models of radar S Ravuri, K Lenc, M Willson, D Kangin, R Lam, P Mirowski, M Fitzsimons, ... Nature 597 (7878), 672-677, 2021 | 288 | 2021 |
| Variational approaches for auto-encoding generative adversarial networks M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed arXiv preprint arXiv:1706.04987, 2017 | 288 | 2017 |
| One-shot generalization in deep generative models D Rezende, S Mohamed, I Danihelka, K Gregor, D Wierstra International Conference on Machine Learning, 1521-1529, 2016 | 280 | 2016 |
| Monte carlo gradient estimation in machine learning S Mohamed, M Rosca, M Figurnov, A Mnih The Journal of Machine Learning Research 21 (1), 5183-5244, 2020 | 278 | 2020 |
| Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence S Mohamed, MT Png, W Isaac Philosophy & Technology 33, 659-684, 2020 | 222 | 2020 |
| Many paths to equilibrium: GANs do not need to decrease a divergence at every step W Fedus, M Rosca, B Lakshminarayanan, AM Dai, S Mohamed, ... arXiv preprint arXiv:1710.08446, 2017 | 213 | 2017 |
| Missing data: A comparison of neural network and expectation maximization techniques FV Nelwamondo, S Mohamed, T Marwala Current Science, 1514-1521, 2007 | 205 | 2007 |
| Implicit reparameterization gradients M Figurnov, S Mohamed, A Mnih Advances in neural information processing systems 31, 2018 | 200 | 2018 |
| Recurrent environment simulators S Chiappa, S Racaniere, D Wierstra, S Mohamed arXiv preprint arXiv:1704.02254, 2017 | 194 | 2017 |
| Early visual concept learning with unsupervised deep learning I Higgins, L Matthey, X Glorot, A Pal, B Uria, C Blundell, S Mohamed, ... arXiv preprint arXiv:1606.05579, 2016 | 174 | 2016 |
Danilo J. RezendeSenior Staff Research Scientist at DeepMind在 google.com 的电子邮件经过验证
