Zoubin Ghahramani

Citée par

	Toutes	Depuis 2018
Citations	89050	46512
indice h	123	85
indice i10	329	263

10000

5000

2500

7500

19981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023250 342 395 482 672 900 1145 1315 1568 1843 2118 2298 2421 2602 3019 3475 3578 3757 4319 4939 6048 7138 8289 9094 9159 6773

Accès public

Tout afficher

54 articles

1 article

disponibles

non disponibles

Sur la base des exigences liées au financement

Coauteurs

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. Computer Science, University of TorontoAdresse e-mail validée de cs.toronto.edu
Katherine HellerGoogle ResearchAdresse e-mail validée de gatsby.ucl.ac.uk
José Miguel Hernández-LobatoProfessor of Machine Learning, 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
Matthew J. BealChicago Trading CompanyAdresse e-mail validée de chicagotrading.com
Alexander G. D. G. MatthewsDeepMindAdresse e-mail validée de google.com
Sam Roweis (Memorial)New York UniversityAdresse e-mail validée de buffalo.edu
David A. KnowlesColumbia University & New York Genome CenterAdresse e-mail validée de columbia.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）InfAdresse e-mail validée de gatsby.ucl.ac.uk
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstituteAdresse e-mail validée de flatironinstitute.org
Neil HoulsbyGoogleAdresse e-mail validée de google.com
James HensmanMicrosoft ResearchAdresse e-mail validée de microsoft.com
Ryan P. AdamsPrinceton UniversityAdresse e-mail validée de princeton.edu
Hugh Durrant-WhyteUniversity of SydneyAdresse e-mail validée de sydney.edu.au

Suivre

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	8419	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	5473*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5098	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4041	1995
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	2367	1996
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2361	2000
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	2114	2006
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	1915	2015
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest Number: INFORMATION TO ALL USERS, 2002	1873	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 2016	1853	2016
Factorial hidden Markov models Z Ghahramani, M Jordan Advances in neural information processing systems 8, 1995	1839	1995
Deep bayesian active learning with image data Y Gal, R Islam, Z Ghahramani International conference on machine learning, 1183-1192, 2017	1515	2017
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1309	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	1244	2010
An introduction to hidden Markov models and Bayesian networks Z Ghahramani International journal of pattern recognition and artificial intelligence 15 …, 2001	1216	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	1060	2004
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	1052	2001
Unsupervised learning Z Ghahramani Summer school on machine learning, 72-112, 2003	980	2003
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	969	1996
Infinite latent feature models and the Indian buffet process T Griffiths, Z Ghahramani Advances in Neural Information Processing Systems 18, 475--482, 2006	947*	2006

Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.

Articles 1–20

Nombre de citations par an

Citations en double

Citations fusionnées

Ajouter les coauteursCoauteurs

Suivre

Citée par

Coauteurs