Zoubin Ghahramani

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	90629	47992
h-индекс	124	86
i10-индекс	329	263

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Публичен достъп

Преглед на всички

56 статии

2 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyПотвърден имейл адрес: cs.berkeley.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityПотвърден имейл адрес: columbia.edu
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonПотвърден имейл адрес: cs.wisc.edu
Yarin GalAssociate Professor, University of OxfordПотвърден имейл адрес: cs.ox.ac.uk
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoПотвърден имейл адрес: cs.toronto.edu
Katherine HellerGoogle ResearchПотвърден имейл адрес: gatsby.ucl.ac.uk
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeПотвърден имейл адрес: cam.ac.uk
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeПотвърден имейл адрес: cam.ac.uk
Matthew J. BealChicago Trading CompanyПотвърден имейл адрес: chicagotrading.com
Alexander G. D. G. MatthewsDeepMindПотвърден имейл адрес: google.com
Sam Roweis (Memorial)New York UniversityПотвърден имейл адрес: buffalo.edu
David A. KnowlesColumbia University & New York Genome CenterПотвърден имейл адрес: columbia.edu
Tommi JaakkolaMITПотвърден имейл адрес: csail.mit.edu
Richard E TurnerProfessor, University of CambridgeПотвърден имейл адрес: cam.ac.uk
Wei Chu（褚崴）InfПотвърден имейл адрес: gatsby.ucl.ac.uk
Neil HoulsbyGoogleПотвърден имейл адрес: google.com
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstituteПотвърден имейл адрес: flatironinstitute.org
James HensmanMicrosoft ResearchПотвърден имейл адрес: microsoft.com
Ryan P. AdamsPrinceton UniversityПотвърден имейл адрес: princeton.edu
Hugh Durrant-WhyteUniversity of SydneyПотвърден имейл адрес: sydney.edu.au

Следене

Zoubin Ghahramani

Professor, University of Cambridge, and Distinguished Researcher, Google

Потвърден имейл адрес: eng.cam.ac.uk - Начална страница

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	8802	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	5517*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5167	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	2411	1996
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2392	2000
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	2155	2006
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	1974	2015
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest Number: INFORMATION TO ALL USERS, 2002	1905	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 2016	1879	2016
Factorial hidden Markov models Z Ghahramani, M Jordan Advances in neural information processing systems 8, 1995	1846	1995
Deep bayesian active learning with image data Y Gal, R Islam, Z Ghahramani International conference on machine learning, 1183-1192, 2017	1583	2017
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1315	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	1259	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	1062	2001
Unsupervised learning Z Ghahramani Summer school on machine learning, 72-112, 2003	1013	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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