Vincent Dutordoir
Title
Cited by
Cited by
Year
Gaussian process conditional density estimation
V Dutordoir, H Salimbeni, J Hensman, M Deisenroth
Advances in Neural Information Processing Systems, NeurIPS, 2385-2395, 2018
312018
Deep Gaussian Processes with Importance-Weighted Variational Inference
H Salimbeni, V Dutordoir, J Hensman, MP Deisenroth
International Conference on Machine Learning, ICML, 2019
252019
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
242020
Bayesian image classification with deep convolutional Gaussian processes
V Dutordoir, M Wilk, A Artemev, J Hensman
International Conference on Artificial Intelligence and Statistics, 1529-1539, 2020
23*2020
Sparse Gaussian processes with spherical harmonic features
V Dutordoir, N Durrande, J Hensman
International Conference on Machine Learning, 2793-2802, 2020
152020
A tutorial on sparse Gaussian processes and variational inference
F Leibfried, V Dutordoir, ST John, N Durrande
arXiv preprint arXiv:2012.13962, 2020
72020
Deep gaussian process metamodeling of sequentially sampled non-stationary response surfaces
V Dutordoir, N Knudde, J van der Herten, I Couckuyt, T Dhaene
Winter Simulation Conference, 134, 2017
52017
GPflux: A Library for Deep Gaussian Processes
V Dutordoir, H Salimbeni, E Hambro, J McLeod, F Leibfried, A Artemev, ...
arXiv preprint arXiv:2104.05674, 2021
32021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
V Dutordoir, J Hensman, M van der Wilk, CH Ek, Z Ghahramani, ...
arXiv preprint arXiv:2105.04504, 2021
22021
Hierarchical Gaussian Process Models for Improved Metamodeling
N Knudde, V Dutordoir, JVD Herten, I Couckuyt, T Dhaene
ACM Transactions on Modeling and Computer Simulation (TOMACS) 30 (4), 1-17, 2020
12020
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation
V Picheny, V Dutordoir, A Artemev, N Durrande
arXiv preprint arXiv:2006.14376, 2020
12020
Non-Stationary Surrogate Modeling with Deep Gaussian.”
V Dutordoir
12017
Efficient computational inference using gaussian processes
V Dutordoir, J Hensman, N Durrande
US Patent 11,027,743, 2021
2021
Method and system for classification of data
J Hensman, M VAN DER WILK, V Dutordoir
US Patent 10,733,483, 2020
2020
Surrogate modeling with sequential design for design and analysis of electronic systems
J van der Herten, V Dutordoir, I Couckuyt, T Dhaene
2017 International Conference on Electromagnetics in Advanced Applications …, 2017
2017
DRAFT: A Tutorial on Sparse Gaussian Processes and Variational Inference
F Leibfried, V Dutordoir
Supplementary: Sparse Gaussian Processes with Spherical Harmonic Features
V Dutordoir, N Durrande, J Hensman
A Framework for Interdomain and Multioutput Gaussian Processes Download PDF Open Website
M van der Wilk, V Dutordoir, ST John, A Artemev, V Adam, J Hensman
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