Zoubin Ghahramani - Google Scholar

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerifierad e-postadress på cs.berkeley.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerifierad e-postadress på columbia.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerifierad e-postadress på cs.toronto.edu
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerifierad e-postadress på cs.wisc.edu
Katherine HellerDuke UniversityVerifierad e-postadress på gatsby.ucl.ac.uk
Yarin GalAssociate Professor, University of OxfordVerifierad e-postadress på cs.ox.ac.uk
Matthew J. BealChicago Trading CompanyVerifierad e-postadress på chicagotrading.com
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeVerifierad e-postadress på cam.ac.uk
José Miguel Hernández-LobatoUniversity Lecturer (US Assistant Professor) University of CambridgeVerifierad e-postadress på cam.ac.uk
Sam Roweis (Memorial)New York UniversityVerifierad e-postadress på buffalo.edu
David A. KnowlesColumbia University & New York Genome CenterVerifierad e-postadress på columbia.edu
Wei Chu（褚崴）AlibabaVerifierad e-postadress på gatsby.ucl.ac.uk
Lawrence K SaulProfessor of Computer Science and Engineering, UC San DiegoVerifierad e-postadress på cs.ucsd.edu
Hugh Durrant-WhyteUniversity of SydneyVerifierad e-postadress på sydney.edu.au
James Robert LloydPhD from Machine Learning Group, Cambridge UniversityVerifierad e-postadress på cam.ac.uk
Ryan P. AdamsPrinceton UniversityVerifierad e-postadress på princeton.edu
Neil HoulsbyGoogleVerifierad e-postadress på google.com
Daphne KollerCEO and Founder, insitroVerifierad e-postadress på insitro.com
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerifierad e-postadress på princeton.edu
Jurgen Van GaelFacebookVerifierad e-postadress på fb.com

Zoubin Ghahramani

Professor, University of Cambridge, and Chief Scientist, Uber

Verifierad e-postadress på eng.cam.ac.uk - Startsida

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	4225*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	3706	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3212	1995
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	2176	2016
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	1882	2000
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	1728	1996
Factorial hidden Markov models Z Ghahramani, MI Jordan Advances in Neural Information Processing Systems, 472-478, 1996	1596	1996
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	1365	2006
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн	1286	2002
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1100	1999
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems, 1019-1027, 2016	1057	2016
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	949	2004
An introduction to hidden Markov models and Bayesian networks Z Ghahramani Hidden Markov models: applications in computer vision, 9-41, 2001	928	2001
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	887	2010
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	883	2001
Infinite latent feature models and the Indian buffet process T Griffiths, Z Ghahramani Advances in Neural Information Processing Systems 18, 475--482, 2006	838*	2006
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	818	2015
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	808	1996
Information theory Z Ghahramani Encyclopedia of Cognitive Science, 2006	806	2006
The infinite hidden Markov model MJ Beal, Z Ghahramani, CE Rasmussen Advances in neural information processing systems, 577-584, 2002	720	2002

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