James Hensman

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Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
Keith WordenUniversity of SheffieldVerified email at sheffield.ac.uk
Mark van der WilkImperial College LondonVerified email at imperial.ac.uk
Alexander G. D. G. MatthewsDeepMindVerified email at google.com
Magnus RattrayUniversity of ManchesterVerified email at manchester.ac.uk
Nicolas DurrandeResearch Lead at Shift LabVerified email at shiftlab.ai
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Vincent DutordoirUniversity of CambridgeVerified email at cam.ac.uk
Karen HolfordProfessor of Mechanical Engineering CardiffVerified email at cardiff.ac.uk
Mark J EatonCardiff UniversityVerified email at cf.ac.uk
Rhys PullinSenior Lecturer in Performance Engineering, Cardiff UniversityVerified email at cardiff.ac.uk
ST JohnFinnish Center for Artificial Intelligence FCAI, Aalto UniversityVerified email at aalto.fi
Stefanos EleftheriadisApplied scientist at AmazonVerified email at amazon.com
Artem ArtemevImperial College LondonVerified email at imperial.ac.uk
Gareth PierceProfessor Electrical and Electronic Engineering, University of StrathclydeVerified email at strath.ac.uk
Hugh SalimbeniImperial College LondonVerified email at ic.ac.uk
Vincent AdamAalto UniversityVerified email at gatsby.ucl.ac.uk
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
Nicolo FusiSenior Principal Researcher, Microsoft ResearchVerified email at microsoft.com
Marco GherlonePolitecnico di Torino, Department of Mechanical and Aerospace EngineeringVerified email at polito.it

James Hensman

Principal scientist, Amazon

Verified email at amazon.com

machine learning probabilistic modelling biostatistics Gaussian processes approximate inference


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gaussian processes for big data J Hensman, N Fusi, ND Lawrence Conference on Uncertainty in Artificial Intellegence, 282--290, 2013	1019	2013
GPflow: A Gaussian Process Library using TensorFlow. AGG Matthews, M Van Der Wilk, T Nickson, K Fujii, A Boukouvalas, ... J. Mach. Learn. Res. 18 (40), 1-6, 2017	430*	2017
Scalable Variational Gaussian Process Classification J Hensman, A Matthews, Z Ghahramani AISTATS 38, 2014	426	2014
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	284	2011
Variational Fourier Features for Gaussian Processes. J Hensman, N Durrande, A Solin J. Mach. Learn. Res. 18 (1), 5537-5588, 2017	148	2017
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	147	2010
MCMC for variationally sparse Gaussian processes J Hensman, AGG Matthews, M Filippone, Z Ghahramani NIPS 2015, 2015	128	2015
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	124*	2016
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	118	2013
Fast variational inference in the conjugate exponential family J Hensman, M Rattray, ND Lawrence NIPS 2012, 2012	116	2012
Convolutional gaussian processes M van der Wilk, CE Rasmussen, J Hensman NeurIPS 2017, 2017	109	2017
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters J Hensman, ND Lawrence, M Rattray BMC bioinformatics 14 (1), 1-12, 2013	103	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	101	2012
GPy: A gaussian process framework in python J Hensman, N Fusi, R Andrade, N Durrande, A Saul, M Zwiessele, ...	89*	2012
Hoxa2 selectively enhances Meis binding to change a branchial arch ground state S Amin, IJ Donaldson, DA Zannino, J Hensman, M Rattray, M Losa, ... Developmental cell 32 (3), 265-277, 2015	77	2015
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	75	2017
Identification of Gaussian process state space models S Eleftheriadis, T Nicholson, M Deisenroth, J Hensman Advances in neural information processing systems 30, 2017	74	2017
Nested variational compression in deep Gaussian processes J Hensman, ND Lawrence arXiv preprint arXiv:1412.1370, 2014	74	2014
Genome-wide occupancy links Hoxa2 to Wnt–β-catenin signaling in mouse embryonic development IJ Donaldson, S Amin, JJ Hensman, E Kutejova, M Rattray, N Lawrence, ... Nucleic acids research 40 (9), 3990-4001, 2012	74	2012
Fast nonparametric clustering of structured time-series J Hensman, M Rattray, ND Lawrence IEEE transactions on pattern analysis and machine intelligence 37 (2), 383-393, 2014	67	2014

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