Zoubin Ghahramani

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityAdresse e-mail validée de columbia.edu
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonAdresse e-mail validée de cs.wisc.edu
Yarin GalAssociate Professor, University of OxfordAdresse e-mail validée de cs.ox.ac.uk
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleAdresse e-mail validée de cs.toronto.edu
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeAdresse e-mail validée de cam.ac.uk
Katherine HellerGoogle ResearchAdresse e-mail validée de gatsby.ucl.ac.uk
Matthew J. BealChicago Trading CompanyAdresse e-mail validée de chicagotrading.com
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeAdresse e-mail validée de cam.ac.uk
Alexander G. D. G. MatthewsDeepMindAdresse e-mail validée de google.com
David A. KnowlesColumbia University & New York Genome CenterAdresse e-mail validée de columbia.edu
Sam Roweis (Memorial)New York UniversityAdresse e-mail validée de buffalo.edu
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
Richard E TurnerProfessor, University of CambridgeAdresse e-mail validée de cam.ac.uk
Wei Chu（褚崴）AlibabaAdresse e-mail validée de gatsby.ucl.ac.uk
Neil HoulsbyGoogleAdresse e-mail validée de google.com
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstituteAdresse e-mail validée de flatironinstitute.org
Hugh Durrant-WhyteUniversity of SydneyAdresse e-mail validée de sydney.edu.au
Ryan P. AdamsPrinceton UniversityAdresse e-mail validée de princeton.edu
James HensmanMicrosoft ResearchAdresse e-mail validée de microsoft.com

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Zoubin Ghahramani

Professor, University of Cambridge, and Distinguished Researcher, Google

Adresse e-mail validée de eng.cam.ac.uk - Page d'accueil

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	7552	2016
Semi-supervised learning using Gaussian fields and harmonic functions X Zhu, Z Ghahramani, J Lafferty Proceedings of the Twentieth International Conference on Machine Learning …, 2003	5353*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4976	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3932	1995
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2309	2000
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	2305	1996
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	2037	2006
Factorial hidden Markov models Z Ghahramani, M Jordan Advances in Neural Information Processing Systems 8, 1995	1817	1995
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн	1813	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 2016	1778	2016
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	1776	2015
Deep bayesian active learning with image data Y Gal, R Islam, Z Ghahramani International conference on machine learning, 1183-1192, 2017	1366	2017
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1288	1999
Kronecker graphs: an approach to modeling networks. J Leskovec, D Chakrabarti, J Kleinberg, C Faloutsos, Z Ghahramani Journal of Machine Learning Research 11 (2), 2010	1221	2010
An introduction to hidden Markov models and Bayesian networks Z Ghahramani International journal of pattern recognition and artificial intelligence 15 …, 2001	1185	2001
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	1048	2001
Simultaneous localization and mapping with sparse extended information filters S Thrun, Y Liu, D Koller, AY Ng, Z Ghahramani, H Durrant-Whyte The international journal of robotics research 23 (7-8), 693-716, 2004	1046	2004
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	948	1996
Infinite latent feature models and the Indian buffet process T Griffiths, Z Ghahramani Advances in Neural Information Processing Systems 18, 475--482, 2006	936*	2006
Unsupervised learning Z Ghahramani Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra …, 2004	898	2004

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