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James Hensman
James Hensman
Microsoft Research
Bestätigte E-Mail-Adresse bei microsoft.com
Titel
Zitiert von
Zitiert von
Jahr
Gaussian processes for big data
J Hensman, N Fusi, ND Lawrence
Conference on Uncertainty in Artificial Intellegence, 282--290, 2013
13202013
Scalable Variational Gaussian Process Classification
J Hensman, A Matthews, Z Ghahramani
AISTATS 38, 2014
6122014
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
5112017
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
3182011
Variational Fourier Features for Gaussian Processes.
J Hensman, N Durrande, A Solin
J. Mach. Learn. Res. 18 (1), 5537-5588, 2017
2012017
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
1702010
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
167*2016
MCMC for variationally sparse Gaussian processes
J Hensman, AGG Matthews, M Filippone, Z Ghahramani
NIPS 2015, 2015
1542015
Convolutional gaussian processes
M van der Wilk, CE Rasmussen, J Hensman
NeurIPS 2017, 2017
1482017
GPy: A gaussian process framework in python
J Hensman, N Fusi, R Andrade, N Durrande, A Saul, M Zwiessele, ...
143*2012
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
1382013
Fast variational inference in the conjugate exponential family
J Hensman, M Rattray, ND Lawrence
NIPS 2012, 2012
1292012
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
1222013
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
1182012
Identification of Gaussian process state space models
S Eleftheriadis, T Nicholson, M Deisenroth, J Hensman
Advances in neural information processing systems 30, 2017
1132017
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
1012017
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models
H Salimbeni, S Eleftheriadis, J Hensman
AISTATS, 2018
872018
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
852015
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
842020
Nested variational compression in deep Gaussian processes
J Hensman, ND Lawrence
arXiv preprint arXiv:1412.1370, 2014
822014
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