Zoubin Ghahramani 个人学术档案

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	总计	2019 年至今
引用	96052	47398
h 指数	128	85
i10 指数	334	247

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Daniel WolpertProfessor of Neuroscience, Columbia University在 columbia.edu 的电子邮件经过验证
Yarin GalAssociate Professor, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-Madison在 cs.wisc.edu 的电子邮件经过验证
Geoffrey HintonEmeritus Prof. Computer Science, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
Matthew J. BealChicago Trading Company在 chicagotrading.com 的电子邮件经过验证
Carl Edward RasmussenProfessor of Machine Learning, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Katherine HellerGoogle Research在 gatsby.ucl.ac.uk 的电子邮件经过验证
José Miguel Hernández-LobatoProfessor of Machine Learning, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
David A. KnowlesColumbia University & New York Genome Center在 columbia.edu 的电子邮件经过验证
Tommi JaakkolaMIT在 csail.mit.edu 的电子邮件经过验证
Alexander G. D. G. MatthewsDeepMind在 google.com 的电子邮件经过验证
Sam Roweis (Memorial)New York University在 buffalo.edu 的电子邮件经过验证
Wei Chu（褚崴）Inf在 gatsby.ucl.ac.uk 的电子邮件经过验证
Richard E TurnerProfessor, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Neil HoulsbyGoogle在 google.com 的电子邮件经过验证
Ryan P. AdamsPrinceton University在 princeton.edu 的电子邮件经过验证
James Robert LloydPhD from Machine Learning Group, Cambridge University在 cam.ac.uk 的电子邮件经过验证
Amar ShahPhD student, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Hong GeCambridge University在 cam.ac.uk 的电子邮件经过验证

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Zoubin Ghahramani

Professor, University of Cambridge, and Distinguished Researcher, Google

在 eng.cam.ac.uk 的电子邮件经过验证 - 首页

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	10092	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	5694*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5382	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4189	1995
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	2502	1996
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2456	2000
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	2277	2006
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	2189	2015
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002	2016	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 2016	1989	2016
Factorial hidden Markov models Z Ghahramani, M Jordan Advances in neural information processing systems 8, 1995	1876	1995
Deep bayesian active learning with image data Y Gal, R Islam, Z Ghahramani International conference on machine learning, 1183-1192, 2017	1821	2017
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1328	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	1304	2010
An introduction to hidden Markov models and Bayesian networks Z Ghahramani International journal of pattern recognition and artificial intelligence 15 …, 2001	1260	2001
Unsupervised learning Z Ghahramani Summer school on machine learning, 72-112, 2003	1113	2003
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	1084	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	1074	2004
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	999	1996
Infinite latent feature models and the Indian buffet process T Griffiths, Z Ghahramani Advances in Neural Information Processing Systems 18, 475--482, 2006	960*	2006

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