Zoubin Ghahramani - Google Scholar Citations

Cited by

	All	Since 2015
Citations	55838	26824
h-index	103	73
i10-index	292	235

7000

3500

1750

5250

199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020149 210 300 365 446 630 858 1123 1272 1552 1869 2142 2376 2463 2673 3075 3395 3456 3655 4293 4776 5813 6760 1463

Co-authors

Michael I. JordanProfessor of EECS and Professor of Statistics, University of California, BerkeleyVerified email at cs.berkeley.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerified email at cs.wisc.edu
Katherine HellerDuke UniversityVerified email at gatsby.ucl.ac.uk
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Matthew J. BealChicago Trading CompanyVerified email at chicagotrading.com
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
José Miguel Hernández-LobatoUniversity Lecturer (US Assistant Professor) University of CambridgeVerified email at cam.ac.uk
Sam Roweis (Memorial)New York UniversityVerified email at buffalo.edu
David A. KnowlesColumbia University & New York Genome CenterVerified email at columbia.edu
Wei Chu（褚崴）AlibabaVerified email at gatsby.ucl.ac.uk
Lawrence K SaulProfessor of Computer Science and Engineering, UC San DiegoVerified email at cs.ucsd.edu
Hugh Durrant-WhyteUniversity of SydneyVerified email at sydney.edu.au
Naonori UedaNTT コミュニケーション科学基礎研究所Verified email at lab.ntt.co.jp
Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu
James Robert LloydPhD from Machine Learning Group, Cambridge UniversityVerified email at cam.ac.uk
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Neil HoulsbyGoogleVerified email at google.com
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu

Zoubin Ghahramani

Professor, University of Cambridge, and Chief Scientist, Uber

Verified email at eng.cam.ac.uk - Homepage

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	3662	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	3509	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3109	1995
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	1824	2000
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	1665	1996
Factorial hidden Markov models Z Ghahramani, MI Jordan Advances in Neural Information Processing Systems, 472-478, 1996	1556	1996
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	1484	2016
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	1242	2006
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн	1219	2002
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1074	1999
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	916	2004
An introduction to hidden Markov models and Bayesian networks Z Ghahramani Hidden Markov models: applications in computer vision, 9-41, 2001	877	2001
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems, 1019-1027, 2016	870	2016
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	860	2001
Kronecker graphs: An approach to modeling networks J Leskovec, D Chakrabarti, J Kleinberg, C Faloutsos, Z Ghahramani Journal of Machine Learning Research 11 (Feb), 985-1042, 2010	857	2010
Infinite latent feature models and the Indian buffet process T Griffiths, Z Ghahramani Advances in Neural Information Processing Systems 18, 475--482, 2006	810*	2006
Information theory Z Ghahramani Encyclopedia of Cognitive Science, 2006	789	2006
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	783	1996
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	700	2015
The infinite hidden Markov model MJ Beal, Z Ghahramani, CE Rasmussen Advances in neural information processing systems, 577-584, 2002	694	2002

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors