James Hensman

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Neil D. LawrenceUniversity of CambridgeAdresse e-mail validée de cl.cam.ac.uk
Mark van der WilkAssociate Professor, University of OxfordAdresse e-mail validée de cs.ox.ac.uk
Keith WordenUniversity of SheffieldAdresse e-mail validée de sheffield.ac.uk
Alexander G. D. G. MatthewsDeepMindAdresse e-mail validée de google.com
Magnus RattrayUniversity of ManchesterAdresse e-mail validée de manchester.ac.uk
Nicolas DurrandePrincipal Scientist at MonumoAdresse e-mail validée de monumo.com
Vincent DutordoirGoogle DeepMindAdresse e-mail validée de cam.ac.uk
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
ST JohnFinnish Center for Artificial Intelligence FCAI, Aalto UniversityAdresse e-mail validée de aalto.fi
Karen HolfordHonorary Distinguished Professor of Mechanical Engineering CardiffAdresse e-mail validée de cardiff.ac.uk
Mark J EatonCardiff UniversityAdresse e-mail validée de cf.ac.uk
Rhys PullinSenior Lecturer in Performance Engineering, Cardiff UniversityAdresse e-mail validée de cardiff.ac.uk
Artem ArtemevImperial College LondonAdresse e-mail validée de imperial.ac.uk
Stefanos EleftheriadisAdresse e-mail validée de amazon.com
Hugh SalimbeniImperial College LondonAdresse e-mail validée de ic.ac.uk
Gareth PierceProfessor Electrical and Electronic Engineering, University of StrathclydeAdresse e-mail validée de strath.ac.uk
Marc DeisenrothUniversity College LondonAdresse e-mail validée de ucl.ac.uk
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeAdresse e-mail validée de cam.ac.uk
Vincent AdamPompeu Fabra UniversityAdresse e-mail validée de gatsby.ucl.ac.uk
Nicolò FusiPartner Researcher, Microsoft ResearchAdresse e-mail validée de microsoft.com

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James Hensman

Microsoft Research

Adresse e-mail validée de microsoft.com

machine learning probabilistic modelling biostatistics Gaussian processes approximate inference


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Gaussian processes for big data J Hensman, N Fusi, ND Lawrence Conference on Uncertainty in Artificial Intellegence, 282--290, 2013	1598	2013
Scalable Variational Gaussian Process Classification J Hensman, A Matthews, Z Ghahramani AISTATS 38, 2014	784	2014
GPflow: A Gaussian process library using TensorFlow AGG Matthews, M Van Der Wilk, T Nickson, K Fujii, A Boukouvalas, P Le, ... Journal of Machine Learning Research 18 (40), 1-6, 2017	672	2017
Natural computing for mechanical systems research: A tutorial overview K Worden, WJ Staszewski, JJ Hensman Mechanical Systems and Signal Processing 25 (1), 4-111, 2011	348	2011
Variational Fourier features for Gaussian processes J Hensman, N Durrande, A Solin Journal of Machine Learning Research 18 (151), 1-52, 2018	249	2018
On sparse variational methods and the Kullback-Leibler divergence between stochastic processes AGG Matthews, J Hensman, R Turner, Z Ghahramani AISTATS 51, 231-239, 2016	203*	2016
Locating acoustic emission sources in complex structures using Gaussian processes J Hensman, R Mills, SG Pierce, K Worden, M Eaton Mechanical Systems and Signal Processing 24 (1), 211-223, 2010	198	2010
GPy: A gaussian process framework in python J Hensman, N Fusi, R Andrade, N Durrande, A Saul, M Zwiessele, ...	181*	2012
MCMC for variationally sparse Gaussian processes J Hensman, AGG Matthews, M Filippone, Z Ghahramani NIPS 2015, 2015	176	2015
Convolutional Gaussian processes M van der Wilk, CE Rasmussen, J Hensman NeurIPS 2017, 2017	170	2017
The circadian clock in murine chondrocytes regulates genes controlling key aspects of cartilage homeostasis N Gossan, L Zeef, J Hensman, A Hughes, JF Bateman, L Rowley, ... Arthritis & Rheumatism 65 (9), 2334-2345, 2013	154	2013
Identification of Gaussian process state space models S Eleftheriadis, T Nicholson, M Deisenroth, J Hensman Advances in neural information processing systems 30, 2017	142	2017
Fast variational inference in the conjugate exponential family J Hensman, M Rattray, ND Lawrence NIPS 2012, 2012	140	2012
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters J Hensman, ND Lawrence, M Rattray BMC bioinformatics 14, 1-12, 2013	127	2013
Parameter estimation and model selection for a class of hysteretic systems using Bayesian inference K Worden, JJ Hensman Mechanical Systems and Signal Processing 32, 153-169, 2012	127	2012
A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: An overview KM Holford, MJ Eaton, JJ Hensman, R Pullin, SL Evans, N Dervilis, ... Progress in Aerospace Sciences 90, 1-11, 2017	117	2017
A framework for interdomain and multioutput Gaussian processes M Van der Wilk, V Dutordoir, ST John, A Artemev, V Adam, J Hensman arXiv preprint arXiv:2003.01115, 2020	113	2020
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models H Salimbeni, S Eleftheriadis, J Hensman AISTATS, 2018	110	2018
Slicegpt: Compress large language models by deleting rows and columns S Ashkboos, ML Croci, MG Nascimento, T Hoefler, J Hensman arXiv preprint arXiv:2401.15024, 2024	96	2024
Learning Invariances using the Marginal Likelihood M van der Wilk, M Bauer, ST John, J Hensman NeurIPS 2018, 2018	96	2018

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