Shakir Mohamed

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Danilo J. RezendeDirector at DeepMindVerified email at google.com
Mihaela RoscaDeepmindVerified email at google.com
Balaji LakshminarayananSenior Staff Research Scientist at Google DeepMindVerified 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 WellingCAIO CuspAI & 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 London and The Alan Turing InstituteVerified 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	6065	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	5315	2017
Variational inference with normalizing flows D Rezende, S Mohamed International conference on machine learning, 1530-1538, 2015	4476	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	3627	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	1697	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	903	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	779	2021
Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence S Mohamed, MT Png, W Isaac Philosophy & Technology 33, 659-684, 2020	510	2020
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	495	2020
Learning in implicit generative models S Mohamed, B Lakshminarayanan arXiv preprint arXiv:1610.03483, 2016	486	2016
Variational information maximisation for intrinsically motivated reinforcement learning S Mohamed, D Jimenez Rezende Advances in neural information processing systems 28, 2015	466	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	454	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	425	2017
Learning skillful medium-range global weather forecasting R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ... Science 382 (6677), 1416-1421, 2023	380	2023
Variational approaches for auto-encoding generative adversarial networks M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed arXiv preprint arXiv:1706.04987, 2017	330	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	314	2016
Implicit reparameterization gradients M Figurnov, S Mohamed, A Mnih Advances in neural information processing systems 31, 2018	274	2018
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	269	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	260	2017
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	254	2022

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