Zoubin Ghahramani

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPatvirtintas el. paštas cs.berkeley.edu
Yarin GalAssociate Professor, University of OxfordPatvirtintas el. paštas cs.ox.ac.uk
Daniel WolpertProfessor of Neuroscience, Columbia UniversityPatvirtintas el. paštas columbia.edu
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonPatvirtintas el. paštas cs.wisc.edu
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoPatvirtintas el. paštas cs.toronto.edu
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgePatvirtintas el. paštas cam.ac.uk
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgePatvirtintas el. paštas cam.ac.uk
Matthew J. BealChicago Trading CompanyPatvirtintas el. paštas chicagotrading.com
Katherine HellerGoogle ResearchPatvirtintas el. paštas gatsby.ucl.ac.uk
David A. KnowlesColumbia University & New York Genome CenterPatvirtintas el. paštas columbia.edu
Alexander G. D. G. MatthewsDeepMindPatvirtintas el. paštas google.com
Tommi JaakkolaMITPatvirtintas el. paštas csail.mit.edu
Sam Roweis (Memorial)New York UniversityPatvirtintas el. paštas buffalo.edu
Wei Chu（褚崴）InfPatvirtintas el. paštas gatsby.ucl.ac.uk
Richard E TurnerProfessor, University of CambridgePatvirtintas el. paštas cam.ac.uk
Neil HoulsbyGooglePatvirtintas el. paštas google.com
Ryan P. AdamsPrinceton UniversityPatvirtintas el. paštas princeton.edu
James Robert LloydPhD from Machine Learning Group, Cambridge UniversityPatvirtintas el. paštas cam.ac.uk
Amar ShahPhD student, University of CambridgePatvirtintas el. paštas 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 /Patvirtintas el. paštas riken.jp

Stebėti

Zoubin Ghahramani

Professor, University of Cambridge, and Distinguished Researcher, Google

Patvirtintas el. paštas eng.cam.ac.uk - Pagrindinis puslapis

Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	11483	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	5825*	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5574	1999
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4331	1995
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of Artificial Intelligence Research 4, 129--145, 1996	2597	1996
Computational principles of movement neuroscience DM Wolpert, Z Ghahramani Nature Neuroscience 3, 1212-1217, 2000	2521	2000
Probabilistic machine learning and artificial intelligence Z Ghahramani Nature 521 (7553), 452-459, 2015	2403	2015
Sparse Gaussian processes using pseudo-inputs E Snelson, Z Ghahramani Advances in Neural Information Processing Systems 18, 1257--1264, 2006	2344	2006
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002	2114	2002
A theoretically grounded application of dropout in recurrent neural networks Y Gal, Z Ghahramani Advances in neural information processing systems 29, 2016	2094	2016
Deep bayesian active learning with image data Y Gal, R Islam, Z Ghahramani International conference on machine learning, 1183-1192, 2017	2079	2017
Factorial hidden Markov models Z Ghahramani, M Jordan Advances in neural information processing systems 8, 1995	1905	1995
A unifying review of linear Gaussian models S Roweis, Z Ghahramani Neural computation 11 (2), 305-345, 1999	1347	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	1333	2010
An introduction to hidden Markov models and Bayesian networks Z Ghahramani International journal of pattern recognition and artificial intelligence 15 …, 2001	1302	2001
Unsupervised learning Z Ghahramani Summer school on machine learning, 72-112, 2003	1237	2003
Perspectives and problems in motor learning DM Wolpert, Z Ghahramani, JR Flanagan Trends in cognitive sciences 5 (11), 487-494, 2001	1102	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	1084	2004
The EM algorithm for mixtures of factor analyzers Z Ghahramani, GE Hinton Technical Report CRG-TR-96-1, University of Toronto, 1996	1013	1996
Bayesian convolutional neural networks with Bernoulli approximate variational inference Y Gal, Z Ghahramani arXiv preprint arXiv:1506.02158, 2015	981	2015

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