| Stochastic Backpropagation and Approximate Inference in Deep Generative Models DJ Rezende, S Mohamed, D Wierstra The 31st International Conference on Machine Learning (ICML), 2014 | 6251 | 2014 |
| beta-vae: Learning basic visual concepts with a constrained variational framework. I Higgins, L Matthey, A Pal, CP Burgess, X Glorot, MM Botvinick, ... ICLR (Poster) 3, 2017 | 5672 | 2017 |
| Variational inference with normalizing flows D Rezende, S Mohamed International conference on machine learning, 1530-1538, 2015 | 4798 | 2015 |
| Semi-supervised learning with deep generative models DP Kingma, S Mohamed, D Jimenez Rezende, M Welling Advances in neural information processing systems 27, 2014 | 3777 | 2014 |
| 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 | 1895 | 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 | 953 | 2019 |
| 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 | 862 | 2021 |
| Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence S Mohamed, MT Png, W Isaac Philosophy & Technology 33, 659-684, 2020 | 567 | 2020 |
| Learning skillful medium-range global weather forecasting R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ... Science 382 (6677), 1416-1421, 2023 | 541 | 2023 |
| Monte carlo gradient estimation in machine learning S Mohamed, M Rosca, M Figurnov, A Mnih Journal of Machine Learning Research 21 (132), 1-62, 2020 | 523 | 2020 |
| Learning in implicit generative models S Mohamed, B Lakshminarayanan arXiv preprint arXiv:1610.03483, 2016 | 503 | 2016 |
| Variational information maximisation for intrinsically motivated reinforcement learning S Mohamed, D Jimenez Rezende Advances in neural information processing systems 28, 2015 | 480 | 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, 2016 | 462 | 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 | 437 | 2017 |
| Variational approaches for auto-encoding generative adversarial networks M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed arXiv preprint arXiv:1706.04987, 2017 | 335 | 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 | 318 | 2016 |
| AI for social good: unlocking the opportunity for positive impact N Tomašev, J Cornebise, F Hutter, S Mohamed, A Picciariello, B Connelly, ... Nature Communications 11 (1), 2468, 2020 | 298 | 2020 |
| GraphCast: Learning skillful medium-range global weather forecasting R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ... arXiv preprint arXiv:2212.12794, 2022 | 294 | 2022 |
| Implicit reparameterization gradients M Figurnov, S Mohamed, A Mnih Advances in neural information processing systems 31, 2018 | 289 | 2018 |
| 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 | 267 | 2017 |
Balaji LakshminarayananSenior Staff Research Scientist at Google DeepMindVerified email at google.com
