Zoubin Ghahramani

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerifierad e-postadress på cs.berkeley.edu
Yarin GalAssociate Professor, University of OxfordVerifierad e-postadress på cs.ox.ac.uk
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerifierad e-postadress på columbia.edu
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerifierad e-postadress på cs.wisc.edu
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerifierad e-postadress på cs.toronto.edu
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeVerifierad e-postadress på cam.ac.uk
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeVerifierad e-postadress på cam.ac.uk
Matthew J. BealChicago Trading CompanyVerifierad e-postadress på chicagotrading.com
Katherine HellerGoogle ResearchVerifierad e-postadress på gatsby.ucl.ac.uk
David A. KnowlesColumbia University & New York Genome CenterVerifierad e-postadress på columbia.edu
Alexander G. D. G. MatthewsDeepMindVerifierad e-postadress på google.com
Tommi JaakkolaMITVerifierad e-postadress på csail.mit.edu
Sam Roweis (Memorial)New York UniversityVerifierad e-postadress på buffalo.edu
Wei Chu（褚崴）InfVerifierad e-postadress på gatsby.ucl.ac.uk
Richard E TurnerProfessor, University of CambridgeVerifierad e-postadress på cam.ac.uk
Neil HoulsbyGoogleVerifierad e-postadress på google.com
Ryan P. AdamsPrinceton UniversityVerifierad e-postadress på princeton.edu
James Robert LloydPhD from Machine Learning Group, Cambridge UniversityVerifierad e-postadress på cam.ac.uk
Amar ShahPhD student, University of CambridgeVerifierad e-postadress på cam.ac.uk
Naonori Ueda理化学研究所/NTTコミュニケーション科学基礎研究所 /Verifierad e-postadress på riken.jp

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Zoubin Ghahramani

Professor, University of Cambridge, and Distinguished Researcher, Google

Verifierad e-postadress på eng.cam.ac.uk - Startsida

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	11674	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	5843*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5600	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4354	1995
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	2616	1996
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2525	2000
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	2430	2015
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	2357	2006
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002	2124	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 2016	2107	2016
Deep bayesian active learning with image data Y Gal, R Islam, Z Ghahramani International conference on machine learning, 1183-1192, 2017	2106	2017
Factorial hidden Markov models Z Ghahramani, M Jordan Advances in neural information processing systems 8, 1995	1913	1995
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1350	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	1338	2010
An introduction to hidden Markov models and Bayesian networks Z Ghahramani International journal of pattern recognition and artificial intelligence 15 …, 2001	1304	2001
Unsupervised learning Z Ghahramani Summer school on machine learning, 72-112, 2003	1284	2003
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	1104	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	1085	2004
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	1016	1996
Bayesian convolutional neural networks with Bernoulli approximate variational inference Y Gal, Z Ghahramani arXiv preprint arXiv:1506.02158, 2015	999	2015

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