Shakir Mohamed

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Danilo J. RezendeSenior Staff Research Scientist at DeepMindVerified email at google.com
Balaji LakshminarayananSenior Staff Research Scientist at Google DeepMindVerified email at google.com
Mihaela RoscaDeepmindVerified email at google.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Tshilidzi Marwala (チリツィマルワラ)Rector of the United Nations UniversityVerified email at unu.edu
Katherine HellerGoogle ResearchVerified email at gatsby.ucl.ac.uk
Diederik P. KingmaResearch Scientist, Google BrainVerified email at google.com
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Ivo DanihelkaDeepMindVerified email at google.com
Nando de FreitasCIFAR & DeepMindVerified email at google.com
Mohammad Emtiyaz KhanCenter for Advanced Intelligence Project (AIP), RIKEN, TokyoVerified email at postman.riken.jp
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
Fulufhelo NelwamondoPrincipal researcher, CSIR/ Visiting Professor of Electrical Engineering, University of JohannesburgVerified email at uj.ac.za
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Ziyu WangDeepmindVerified email at google.com
Benjamin M. MarlinManning College of Information and Computer Sciences, UMass AmherstVerified email at umass.edu
David A. KnowlesColumbia University & New York Genome CenterVerified email at columbia.edu
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Mikkel N. SchmidtTechnical University of DenmarkVerified email at dtu.dk

Shakir Mohamed

Research Director, Google DeepMind

Verified email at deepmind.com - Homepage

Machine Learning Bayesian Statistics Deep Learning Sociotechnical AI Artificial Intelligence


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Stochastic Backpropagation and Approximate Inference in Deep Generative Models DJ Rezende, S Mohamed, D Wierstra The 31st International Conference on Machine Learning (ICML), 2014	5471	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, 2016	4252	2016
Variational inference with normalizing flows D Rezende, S Mohamed International conference on machine learning, 1530-1538, 2015	3579	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	3229	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	1200	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	770	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	512	2021
Learning in implicit generative models S Mohamed, B Lakshminarayanan arXiv preprint arXiv:1610.03483, 2016	436	2016
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	434	2016
Variational information maximisation for intrinsically motivated reinforcement learning S Mohamed, D Jimenez Rezende Advances in neural information processing systems 28, 2015	426	2015
The cramer distance as a solution to biased wasserstein gradients MG Bellemare, I Danihelka, W Dabney, S Mohamed, ... arXiv preprint arXiv:1705.10743, 2017	382	2017
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	363	2020
Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence S Mohamed, MT Png, W Isaac Philosophy & Technology 33, 659-684, 2020	349	2020
Variational approaches for auto-encoding generative adversarial networks M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed arXiv preprint arXiv:1706.04987, 2017	314	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	297	2016
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	242	2017
Implicit reparameterization gradients M Figurnov, S Mohamed, A Mnih Advances in neural information processing systems 31, 2018	238	2018
Missing data: A comparison of neural network and expectation maximization techniques FV Nelwamondo, S Mohamed, T Marwala Current Science, 1514-1521, 2007	228	2007
Recurrent environment simulators S Chiappa, S Racaniere, D Wierstra, S Mohamed arXiv preprint arXiv:1704.02254, 2017	214	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	188	2016

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