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
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleAdresse e-mail validée de cs.toronto.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
Matthew J. BealChicago Trading CompanyAdresse e-mail validée de chicagotrading.com
Katherine HellerDuke UniversityAdresse e-mail validée de gatsby.ucl.ac.uk
José Miguel Hernández-LobatoUniversity Lecturer (US Assistant Professor) University of CambridgeAdresse e-mail validée de cam.ac.uk
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeAdresse e-mail validée de cam.ac.uk
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
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
Alexander G. de G. MatthewsDeepMindAdresse e-mail validée de google.com
Lawrence K SaulProfessor of Computer Science and Engineering, UC San DiegoAdresse e-mail validée de cs.ucsd.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
Hugh Durrant-WhyteUniversity of SydneyAdresse e-mail validée de sydney.edu.au
Ryan P. AdamsPrinceton UniversityAdresse e-mail validée de princeton.edu
Neil HoulsbyGoogleAdresse e-mail validée de google.com
Naonori UedaNTT コミュニケーション科学基礎研究所, 理化学研究所Adresse e-mail validée de hco.ntt.co.jp

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
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	4623*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	4114	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3406	1995
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	3240	2016
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2031	2000
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	1871	1996
Factorial hidden Markov models Z Ghahramani, MI Jordan Machine learning 29 (2), 245-273, 1997	1678	1997
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in neural information processing systems 18, 1257-1264, 2005	1440	2005
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн	1430	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 1019-1027, 2016	1283	2016
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1166	1999
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	1053	2015
An introduction to hidden Markov models and Bayesian networks Z Ghahramani Hidden Markov models: applications in computer vision, 9-41, 2001	1018	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	976	2004
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	969	2010
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	925	2001
Infinite latent feature models and the Indian buffet process T Griffiths, Z Ghahramani Advances in Neural Information Processing Systems 18, 475--482, 2006	887	2006
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	857	1996
The infinite hidden Markov model MJ Beal, Z Ghahramani, CE Rasmussen Advances in neural information processing systems 1, 577-584, 2002	788	2002
Supervised learning from incomplete data via an EM approach Z Ghahramani, MI Jordan Advances in neural information processing systems, 120-127, 1994	746	1994

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