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Shakir Mohamed
Shakir Mohamed
Senior Staff Scientist, DeepMind
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
DJ Rezende, S Mohamed, D Wierstra
The 31st International Conference on Machine Learning (ICML), 2014
42952014
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, ...
26312016
Semi-supervised learning with deep generative models
DP Kingma, S Mohamed, D Jimenez Rezende, M Welling
Advances in neural information processing systems 27, 2014
25142014
Variational inference with normalizing flows
D Rezende, S Mohamed
International conference on machine learning, 1530-1538, 2015
21802015
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
4912019
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
4872021
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
3582016
Learning in implicit generative models
S Mohamed, B Lakshminarayanan
arXiv preprint arXiv:1610.03483, 2016
3292016
Variational information maximisation for intrinsically motivated reinforcement learning
S Mohamed, D Jimenez Rezende
Advances in neural information processing systems 28, 2015
3282015
The cramer distance as a solution to biased wasserstein gradients
MG Bellemare, I Danihelka, W Dabney, S Mohamed, ...
arXiv preprint arXiv:1705.10743, 2017
2782017
Variational approaches for auto-encoding generative adversarial networks
M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed
arXiv preprint arXiv:1706.04987, 2017
2472017
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
2472016
Monte Carlo Gradient Estimation in Machine Learning.
S Mohamed, M Rosca, M Figurnov, A Mnih
J. Mach. Learn. Res. 21 (132), 1-62, 2020
1902020
Missing data: A comparison of neural network and expectation maximization techniques
FV Nelwamondo, S Mohamed, T Marwala
Current Science, 1514-1521, 2007
1892007
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
1802017
Recurrent environment simulators
S Chiappa, S Racaniere, D Wierstra, S Mohamed
arXiv preprint arXiv:1704.02254, 2017
1742017
Implicit reparameterization gradients
M Figurnov, S Mohamed, A Mnih
Advances in Neural Information Processing Systems 31, 2018
1652018
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
1532016
Unsupervised predictive memory in a goal-directed agent
G Wayne, CC Hung, D Amos, M Mirza, A Ahuja, A Grabska-Barwinska, ...
arXiv preprint arXiv:1803.10760, 2018
1402018
Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence
S Mohamed, MT Png, W Isaac
Philosophy & Technology 33 (4), 659-684, 2020
1392020
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