Shakir Mohamed
Shakir Mohamed
Senior Staff Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
DJ Rezende, S Mohamed, D Wierstra
The 31st International Conference on Machine Learning (ICML), 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
Variational inference with normalizing flows
D Rezende, S Mohamed
International conference on machine learning, 1530-1538, 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
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
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
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
Variational information maximisation for intrinsically motivated reinforcement learning
S Mohamed, D Jimenez Rezende
Advances in neural information processing systems 28, 2015
Learning in implicit generative models
S Mohamed, B Lakshminarayanan
arXiv preprint arXiv:1610.03483, 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
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
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
Variational approaches for auto-encoding generative adversarial networks
M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed
arXiv preprint arXiv:1706.04987, 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
Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence
S Mohamed, MT Png, W Isaac
Philosophy & Technology 33, 659-684, 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
Missing data: A comparison of neural network and expectation maximization techniques
FV Nelwamondo, S Mohamed, T Marwala
Current Science, 1514-1521, 2007
Implicit reparameterization gradients
M Figurnov, S Mohamed, A Mnih
Advances in neural information processing systems 31, 2018
Recurrent environment simulators
S Chiappa, S Racaniere, D Wierstra, S Mohamed
arXiv preprint arXiv:1704.02254, 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
The system can't perform the operation now. Try again later.
Articles 1–20