DURRANDE - Nicolas

Toutes les publications (24)
Date/Type Titre/URL/journal Domaines Notes SJR/Core Cit. GScholar
2022
ART
François Bachoc, Nicolas Durrande, Didier Rullière, Clément Chevalier
Properties and comparison of some Kriging sub-model aggregation methods
Mathematical Geosciences - 2022
Maths
2022
COMM
Rodolphe Le Riche, David Gaudrie, Jhouben Cuesta-Ramirez, Sami Ben Elhaj Salah, Olivier Roustant, Victor Picheny, Nicolas Durrande, Xavier Bay, Julien Bruchon, Nicolas Moulin
A discussion of the current and potential uses of Gaussian Processes in mechanics
Journée scientifique de la SF2M: matériau numérique - 2022
Informatique/Ingénierie, finance et science
2020
COUV
Nicolas Garland, Rodolphe Le Riche, Yann Richet, Nicolas Durrande
Multi-fidelity for MDO using Gaussian Processes
Informatique/Ingénierie, finance et science
2019
LECTURE
Rodolphe Le Riche, Nicolas Durrande
An overview of kriging for researchers
Informatique/Ingénierie, finance et science
2019
ART
Andrés F. López-Lopera, Nicolas Durrande, Mauricio Alvarez
Physically-inspired Gaussian process models for post-transcriptional regulation in Drosophila
IEEE/ACM Transactions on Computational Biology and Bioinformatics - 2019
Statistiques
2019
COMM
Andrés F. López-Lopera, St John, Nicolas Durrande
Gaussian process modulated Cox processes under linear inequality constraints
22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019 - 2019
Statistiques
2018
ART
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant
Finite-dimensional Gaussian approximation with linear inequality constraints
SIAM/ASA Journal on Uncertainty Quantification - 2018
Statistiques
2018
COMM
Andrés López-Lopera, François Bachoc, Nicolas Durrande, Jérémy Rohmer, Déborah Idier, Olivier Roustant
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing - 2018
Statistiques
2018
ART
Didier Rullière, Nicolas Durrande, François Bachoc, Clément Chevalier
Nested Kriging predictions for datasets with large number of observations
Statistics and Computing - 2018
Statistiques
2018
UNDEFINED
Jean-Charles Croix, Nicolas Durrande, Mauricio Alvarez
Bayesian inversion of a diffusion evolution equation with application to Biology
Physique
2018
ART
James Hensman, Nicolas Durrande, Arno Solin
Variational Fourier features for Gaussian processes
Journal of Machine Learning Research - 2018
Informatique/Modélisation et simulation
2017
LECTURE
Nicolas Durrande, Rodolphe Le Riche
Introduction to Gaussian Process Surrogate Models
Informatique/Ingénierie, finance et science
2017
ART
N Corrado, Nicolas Durrande, M Gherlone, J Hensman, M Mattone, C. Surace
Single and multiple crack localization in beam-like structures using a Gaussian process regression approach
Journal of Vibration and Control - 2017
Informatique/Modélisation et simulation
2017
COMM
Rodolphe Le Riche, Hossein Mohammadi, Nicolas Durrande, Eric Touboul, Xavier Bay
A Comparison of Regularization Methods for Gaussian Processes
2017 SIAM Conference on Optimization - 2017
Informatique/Modélisation et simulation
2017
REPORT
Hossein Mohammadi, Rodolphe Le Riche, Nicolas Durrande, Eric Touboul, Xavier Bay
An analytic comparison of regularization methods for Gaussian Processes
Statistiques
2016
COMM
Olivier Roustant, Rodolphe Le Riche, Nicolas Durrande
Du tâtonnement aux mathématiques: la décision sous incertitudes
Opening talk for the industrial chair in applied mathematics OQUAIDO - 2016
Informatique/Modélisation et simulation
2016
ART
Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence
Gaussian process models for periodicity detection
PeerJ Computer Science - 2016
Statistiques
2016
ART
Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence
Detecting periodicities with Gaussian processes
PeerJ Computer Science - 2016
Informatique/Modélisation et simulation
2016
ART
David Ginsbourger, Olivier Roustant, Nicolas Durrande
On degeneracy and invariances of random fields paths with applications in Gaussian process modelling
Journal of Statistical Planning and Inference - 2016
Informatique/Modélisation et simulation
2016
COUV
David Ginsbourger, Olivier Roustant, Dominic Schuhmacher, Nicolas Durrande, Nicolas Lenz
On ANOVA Decompositions of Kernels and Gaussian Random Field Paths
Informatique/Modélisation et simulation
2015
OTHER
Yves Deville, David Ginsbourger, Olivier Roustant, Nicolas Durrande
Package 'kergp’
Informatique/Modélisation et simulation
2015
POSTER
Hossein Mohammadi, Rodolphe Le Riche, Eric Touboul, Xavier Bay, Nicolas Durrande
An Analytic Comparison of Regularization Methods for Gaussian Processes
Informatique/Modélisation et simulation
2014
COMM
Nicolas Durrande
Détection de l'apparition de tendances linéaires dans des séries temporelles stationnaires
ROADEF - 15ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision - 2014
Informatique/Recherche opérationnelle
2012
COMM
Nicolas Durrande, Rodolphe Le Riche, Stéphane Avril
MRI sequence denoising using gaussian processes
Euromech 534 colloquium on Advanced experimental approaches and inverse problems in tissue biomechanics - 2012
Informatique/Modélisation et simulation