Neil D. Lawrence

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Citations	17210	9562
h-index	63	48
i10-index	149	118

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Magnus RattrayUniversity of ManchesterVerified email at manchester.ac.uk
Andreas DamianouAmazon.comVerified email at amazon.com
Mauricio A. ÁlvarezUniversity of SheffieldVerified email at sheffield.ac.uk
Zhenwen DaiSpotifyVerified email at spotify.com
James HensmanPrincipal scientist, AmazonVerified email at amazon.com
Michalis TitsiasDeepMindVerified email at google.com
Joaquin Quiñonero CandelaEngineering Director at FacebookVerified email at fb.com
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Guido SanguinettiReader in Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Marta MiloLecturer in Computational Biology, University of SheffieldVerified email at sheffield.ac.uk
Nicolo FusiSenior Principal Researcher, Microsoft ResearchVerified email at microsoft.com
Antti HonkelaAssociate Professor, University of HelsinkiVerified email at helsinki.fi
Javier GonzálezMicrosoft Research CambridgeVerified email at microsoft.com
Carl Henrik EkUniversity of CambridgeVerified email at cam.ac.uk
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinVerified email at amazon.de
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergVerified email at dkfz.de
David J FleetGoogle Brain; University of Toronto; Vector InstituteVerified email at cs.toronto.edu
David LuengoUniversidad Politécnica de Madrid (UPM)Verified email at upm.es
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified email at cs.toronto.edu
Ralf HerbrichZalandoVerified email at zalando.de

Neil D. Lawrence

University of Cambridge

Verified email at cl.cam.ac.uk - Homepage

machine learning Gaussian processes


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Probabilistic non-linear principal component analysis with Gaussian process latent variable models N Lawrence Journal of machine learning research 6 (Nov), 1783-1816, 2005	1060	2005
Gaussian process dynamical models for human motion JM Wang, DJ Fleet, A Hertzmann IEEE transactions on pattern analysis and machine intelligence 30 (2), 283-298, 2007	956*	2007
Gaussian process latent variable models for visualisation of high dimensional data N Lawrence Advances in neural information processing systems 16, 329-336, 2003	930	2003
Dataset shift in machine learning J Quionero-Candela, M Sugiyama, A Schwaighofer, ND Lawrence The MIT Press, 2009	817	2009
Gaussian processes for big data J Hensman, N Fusi, ND Lawrence arXiv preprint arXiv:1309.6835, 2013	757	2013
Deep gaussian processes A Damianou, ND Lawrence Artificial intelligence and statistics, 207-215, 2013	688	2013
Wifi-slam using gaussian process latent variable models. B Ferris, D Fox, ND Lawrence IJCAI 7 (1), 2480-2485, 2007	625	2007
Fast sparse Gaussian process methods: The informative vector machine R Herbrich, N Lawrence, M Seeger Advances in neural information processing systems 15, 625-632, 2002	614	2002
Kernels for vector-valued functions: A review MA Alvarez, L Rosasco, ND Lawrence arXiv preprint arXiv:1106.6251, 2011	533	2011
Fast forward selection to speed up sparse Gaussian process regression M Seeger, C Williams, N Lawrence Artificial Intelligence and Statistics 9, 2003	478	2003
Bayesian Gaussian process latent variable model M Titsias, ND Lawrence Proceedings of the Thirteenth International Conference on Artificial …, 2010	409	2010
Learning to learn with the informative vector machine ND Lawrence, JC Platt Proceedings of the twenty-first international conference on Machine learning, 65, 2004	334	2004
Non-linear matrix factorization with Gaussian processes ND Lawrence, R Urtasun Proceedings of the 26th annual international conference on machine learning …, 2009	265	2009
Local distance preservation in the GP-LVM through back constraints ND Lawrence, J Quiñonero-Candela Proceedings of the 23rd international conference on Machine learning, 513-520, 2006	250	2006
Computationally efficient convolved multiple output Gaussian processes MA Álvarez, ND Lawrence The Journal of Machine Learning Research 12, 1459-1500, 2011	245	2011
Estimating a kernel fisher discriminant in the presence of label noise N Lawrence, B Schölkopf 18th International Conference on Machine Learning (ICML 2001), 306-306, 2001	218	2001
A critical role for phosphatase haplodeficiency in the selective suppression of deletion 5q MDS by lenalidomide S Wei, X Chen, K Rocha, PK Epling-Burnette, JY Djeu, Q Liu, J Byrd, ... Proceedings of the National Academy of Sciences 106 (31), 12974-12979, 2009	217	2009
Sparse convolved Gaussian processes for multi-output regression M Alvarez, N Lawrence Advances in neural information processing systems 21, 57-64, 2008	211	2008
Hierarchical Gaussian process latent variable models ND Lawrence, AJ Moore Proceedings of the 24th international conference on Machine learning, 481-488, 2007	199	2007
Semi-supervised learning via Gaussian processes N Lawrence, M Jordan Advances in neural information processing systems 17, 753-760, 2004	196	2004

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