| Variational approaches for auto-encoding generative adversarial networks M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed arXiv preprint arXiv:1706.04987, 2017 | 207 | 2017 |
| 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 | 153 | 2017 |
| Monte Carlo Gradient Estimation in Machine Learning. S Mohamed, M Rosca, M Figurnov, A Mnih J. Mach. Learn. Res. 21 (132), 1-62, 2020 | 129 | 2020 |
| Deep compressed sensing Y Wu, M Rosca, T Lillicrap International Conference on Machine Learning, 6850-6860, 2019 | 70 | 2019 |
| Distribution matching in variational inference M Rosca, B Lakshminarayanan, S Mohamed arXiv preprint arXiv:1802.06847, 2018 | 69 | 2018 |
| Sequence-to-sequence neural network models for transliteration M Rosca, T Breuel arXiv preprint arXiv:1610.09565, 2016 | 43 | 2016 |
| Training language gans from scratch CM d'Autume, M Rosca, J Rae, S Mohamed arXiv preprint arXiv:1905.09922, 2019 | 37 | 2019 |
| Learning implicit generative models with the method of learned moments S Ravuri, S Mohamed, M Rosca, O Vinyals International Conference on Machine Learning, 4314-4323, 2018 | 21 | 2018 |
| Optax: Composable gradient transformation and optimisation M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan JAX, 2020 | 10 | 2020 |
| A case for new neural network smoothness constraints M Rosca, T Weber, A Gretton, S Mohamed PMLR, 2020 | 4 | 2020 |
| Measure-valued derivatives for approximate Bayesian inference M Rosca, M Figurnov, S Mohamed, A Mnih NeurIPS Workshop on Approximate Bayesian Inference, 2019 | 3 | 2019 |
| Networks with emotions: An investigation into deep belief nets and emotion recognition M Rosca Imperial College London, 2014 | 2* | 2014 |
| Compressed sensing using neural networks Y Wu, TP Lillicrap, M Rosca US Patent App. 16/818,895, 2020 | 1 | 2020 |
| Attractor Neural Networks for Modelling Associative Memory W Al Jishi, N Hambuechen, R Marinescu, M Rosca, L Severyn | 1 | 2013 |
| Discretization Drift in Two-Player Games M Rosca, Y Wu, B Dherin, DGT Barrett arXiv preprint arXiv:2105.13922, 2021 | | 2021 |
| Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective F Gogianu, T Berariu, M Rosca, C Clopath, L Busoniu, R Pascanu arXiv preprint arXiv:2105.05246, 2021 | | 2021 |
| Training language GANs from scratch M Rosca | | |
Shakir MohamedSenior Staff Scientist, DeepMindVahvistettu sähköpostiosoite verkkotunnuksessa deepmind.com
