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 |
Maths | ||
| 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 |
Maths | ||
| 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
Detecting periodicities with Gaussian processes PeerJ Computer Science - 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 |
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 |