Shakir Mohamed

Citirano

	Sve	Od 2020.
Citati	33959	26720
H-indeks	44	37
i10-indeks	63	56

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Balaji LakshminarayananSenior Staff Research Scientist at Google DeepMindPotvrđena adresa e-pošte na google.com
Mihaela RoscaDeepmindPotvrđena adresa e-pošte na google.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GooglePotvrđena adresa e-pošte na eng.cam.ac.uk
Tshilidzi Marwala (チリツィマルワラ)Rector of the United Nations UniversityPotvrđena adresa e-pošte na unu.edu
Katherine HellerGoogle ResearchPotvrđena adresa e-pošte na gatsby.ucl.ac.uk
Diederik P. KingmaAnthropicPotvrđena adresa e-pošte na anthropic.com
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamPotvrđena adresa e-pošte na uva.nl
Ivo DanihelkaDeepMindPotvrđena adresa e-pošte na google.com
Nando de FreitasCIFAR & DeepMindPotvrđena adresa e-pošte na google.com
Mohammad Emtiyaz KhanCenter for Advanced Intelligence Project (AIP), RIKEN, TokyoPotvrđena adresa e-pošte na postman.riken.jp
Marc DeisenrothUniversity College London and Google DeepMindPotvrđena adresa e-pošte na ucl.ac.uk
Fulufhelo NelwamondoPrincipal researcher, CSIR/ Visiting Professor of Electrical Engineering, University of JohannesburgPotvrđena adresa e-pošte na uj.ac.za
Kevin MurphyResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Ziyu WangDeepmindPotvrđena adresa e-pošte na google.com
Benjamin M. MarlinManning College of Information and Computer Sciences, UMass AmherstPotvrđena adresa e-pošte na umass.edu
David A. KnowlesColumbia University & New York Genome CenterPotvrđena adresa e-pošte na columbia.edu
Finale Doshi-VelezProfessor, HarvardPotvrđena adresa e-pošte na seas.harvard.edu
Mikkel N. SchmidtTechnical University of DenmarkPotvrđena adresa e-pošte na dtu.dk

Prati

Shakir Mohamed

Research Director, Google DeepMind

Potvrđena adresa e-pošte na deepmind.com - Početna stranica

Machine Learning Bayesian Statistics Deep Learning Sociotechnical AI Artificial Intelligence


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Stochastic Backpropagation and Approximate Inference in Deep Generative Models DJ Rezende, S Mohamed, D Wierstra The 31st International Conference on Machine Learning (ICML), 2014	6378	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	5909	2017
Variational inference with normalizing flows D Rezende, S Mohamed International conference on machine learning, 1530-1538, 2015	4993	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	3825	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	2009	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	983	2019
Learning skillful medium-range global weather forecasting R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ... Science 382 (6677), 1416-1421, 2023	969	2023
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	903	2021
Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence S Mohamed, MT Png, W Isaac Philosophy & Technology 33, 659-684, 2020	600	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	548	2020
Learning in implicit generative models S Mohamed, B Lakshminarayanan arXiv preprint arXiv:1610.03483, 2016	507	2016
Variational information maximisation for intrinsically motivated reinforcement learning S Mohamed, D Jimenez Rezende Advances in neural information processing systems 28, 2015	482	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	462	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	447	2017
Variational approaches for auto-encoding generative adversarial networks M Rosca, B Lakshminarayanan, D Warde-Farley, S Mohamed arXiv preprint arXiv:1706.04987, 2017	338	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	318	2016
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	313	2020
Implicit reparameterization gradients M Figurnov, S Mohamed, A Mnih Advances in neural information processing systems 31, 2018	299	2018
Power to the people? Opportunities and challenges for participatory AI A Birhane, W Isaac, V Prabhakaran, M Diaz, MC Elish, I Gabriel, ... Proceedings of the 2nd ACM Conference on Equity and Access in Algorithms …, 2022	278	2022
Missing data: A comparison of neural network and expectation maximization techniques FV Nelwamondo, S Mohamed, T Marwala Current Science, 1514-1521, 2007	265	2007

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