Shakir Mohamed - Concepedia

Author

Shakir Mohamed

Also Known As

Ewalds, Timo, Jack W. Rae, Mohamed S., Mohamed, S., Mohamed, Shakir, Rezende, Danilo J., S S Mohamed, S. MOHAMED, S. Mohamed, S. S. MOHAMED

119

Publications

16.8K

Citations

H-Index

119

Concepts

All Affiliations

Google DeepMind (United Kingdom)Google (United States)Google (United Kingdom)University of British Columbia University of Cambridge

About

Shakir Mohamed is an author at Google DeepMind (United Kingdom) specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	29	42	11.4K
2	Public Health	7	7	567
3	Management	2	2	373
4	Natural Sciences	2	2	126
5	Medicine	1	1	1K

Shakir Mohamed

Publications

14.6K

Citations

H-Index

Page 1

	Year	Citations
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework Irina Higgins, Löıc Matthey, Arka Pal, International Conference on Learning Representations Artificial IntelligenceEngineeringMachine LearningAutoencodersConstrained Variational Framework	2017	3.1K
Stochastic Backpropagation and Approximate Inference in Deep Generative Models Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra arXiv (Cornell University) Artificial IntelligenceDeep Neural NetworksEngineeringMachine LearningData Science	2014	2.6K
Variational Inference with Normalizing Flows Danilo Jimenez Rezende, Shakir Mohamed arXiv (Cornell University) Rich Posterior ApproximationsMachine LearningEngineeringVariational AnalysisUncertainty Quantification	2015	1.4K
A clinically applicable approach to continuous prediction of future acute kidney injury Nenad Tomašev, Xavier Glorot, Jack W. Rae, Nature Prognostic EvaluationHemodialysisRenal FunctionClinical InjuryMedicine	2019	1K
Learning skillful medium-range global weather forecasting Rémi Lam, Álvaro Sánchez‐González, Matthew Willson, Science MeteorologyForecasting MethodologyHydrological PredictionEngineeringMachine Learning	2023	948
Skilful precipitation nowcasting using deep generative models of radar Suman Ravuri, Karel Lenc, Matthew Willson, Nature	2021	850
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence Shakir Mohamed, Marie-Thérèse Png, William Isaac Philosophy & Technology	2020	618
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningBase DistributionGenerative System	2019	343
The Cramer Distance as a Solution to Biased Wasserstein Gradients Marc G. Bellemare, Ivo Danihelka, Will Dabney, arXiv (Cornell University) Cramer DistanceEngineeringMachine LearningVariational AnalysisOptimal Transport	2017	252
Variational Approaches for Auto-Encoding Generative Adversarial Networks Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, arXiv (Cornell University) Artificial IntelligenceGenerative SystemEngineeringMachine LearningData Science	2017	247

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