Zoubin Ghahramani

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPotvrđena adresa e-pošte na cs.berkeley.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityPotvrđena adresa e-pošte na columbia.edu
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonPotvrđena adresa e-pošte na cs.wisc.edu
Yarin GalAssociate Professor, University of OxfordPotvrđena adresa e-pošte na cs.ox.ac.uk
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoPotvrđena adresa e-pošte na cs.toronto.edu
Katherine HellerGoogle ResearchPotvrđena adresa e-pošte na gatsby.ucl.ac.uk
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgePotvrđena adresa e-pošte na cam.ac.uk
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgePotvrđena adresa e-pošte na cam.ac.uk
Matthew J. BealChicago Trading CompanyPotvrđena adresa e-pošte na chicagotrading.com
Alexander G. D. G. MatthewsDeepMindPotvrđena adresa e-pošte na google.com
Sam Roweis (Memorial)New York UniversityPotvrđena adresa e-pošte na buffalo.edu
David A. KnowlesColumbia University & New York Genome CenterPotvrđena adresa e-pošte na columbia.edu
Tommi JaakkolaMITPotvrđena adresa e-pošte na csail.mit.edu
Richard E TurnerProfessor, University of CambridgePotvrđena adresa e-pošte na cam.ac.uk
Wei Chu（褚崴）InfPotvrđena adresa e-pošte na gatsby.ucl.ac.uk
Neil HoulsbyGooglePotvrđena adresa e-pošte na google.com
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstitutePotvrđena adresa e-pošte na flatironinstitute.org
James HensmanMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
Ryan P. AdamsPrinceton UniversityPotvrđena adresa e-pošte na princeton.edu
Hugh Durrant-WhyteUniversity of SydneyPotvrđena adresa e-pošte na sydney.edu.au

Prati

Zoubin Ghahramani

Professor, University of Cambridge, and Distinguished Researcher, Google

Potvrđena adresa e-pošte na eng.cam.ac.uk - Početna stranica

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	8774	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	5511*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5163	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4075	1995
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	2406	1996
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2389	2000
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	2153	2006
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	1972	2015
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest Number: INFORMATION TO ALL USERS, 2002	1904	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 2016	1878	2016
Factorial hidden Markov models Z Ghahramani, M Jordan Advances in neural information processing systems 8, 1995	1845	1995
Deep bayesian active learning with image data Y Gal, R Islam, Z Ghahramani International conference on machine learning, 1183-1192, 2017	1575	2017
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1316	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	1257	2010
An introduction to hidden Markov models and Bayesian networks Z Ghahramani International journal of pattern recognition and artificial intelligence 15 …, 2001	1226	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	1062	2004
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	1060	2001
Unsupervised learning Z Ghahramani Summer school on machine learning, 72-112, 2003	1011	2003
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	974	1996
Infinite latent feature models and the Indian buffet process T Griffiths, Z Ghahramani Advances in Neural Information Processing Systems 18, 475--482, 2006	952*	2006

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