Zoubin Ghahramani

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引用	98731	50131
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54 件の論文

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共著者

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

フォロー

Zoubin Ghahramani

Professor, University of Cambridge, and Distinguished Researcher, Google

確認したメールアドレス: eng.cam.ac.uk - ホームページ

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	10764	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	5762*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5458	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4257	1995
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	2535	1996
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2487	2000
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	2288	2006
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	2286	2015
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002	2062	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 2016	2052	2016
Deep bayesian active learning with image data Y Gal, R Islam, Z Ghahramani International conference on machine learning, 1183-1192, 2017	1945	2017
Factorial hidden Markov models Z Ghahramani, M Jordan Advances in neural information processing systems 8, 1995	1880	1995
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1333	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	1319	2010
An introduction to hidden Markov models and Bayesian networks Z Ghahramani International journal of pattern recognition and artificial intelligence 15 …, 2001	1278	2001
Unsupervised learning Z Ghahramani Summer school on machine learning, 72-112, 2003	1181	2003
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	1094	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	1077	2004
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	1008	1996
Infinite latent feature models and the Indian buffet process T Griffiths, Z Ghahramani Advances in Neural Information Processing Systems 18, 475--482, 2006	962*	2006

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