RULLIERE - Didier
Toutes les publications (39)
| Date/Type | Titre/URL/journal | Domaines | Notes SJR/Core | Cit. GScholar |
|---|---|---|---|---|
| 2025
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Large-scale constrained Gaussian processes for shape-restricted function estimation Statistics and Computing - 2025 |
Statistiques | ||
| 2024
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Truncated multivariate normal distribution under nonlinear constraints |
Statistiques | ||
| 2024
ART |
Anis Hoayek, Didier Rullière
Assessing clustering methods using Shannon's entropy Information Sciences - 2024 |
Sciences de l'homme et de la societe | ||
| 2024
UNDEFINED |
Didier Rullière, Marc Grossouvre
A Joint Kriging Model with Application to Constrained Classification |
Statistiques | ||
| 2024
ART |
Tanguy Appriou, Didier Rullière, David Gaudrie
Combination of Optimization-free Kriging Models for High-Dimensional Problems Computational Statistics - 2024 |
Statistiques | ||
| 2024
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Sampling large hyperplane-truncated multivariate normal distributions Computational Statistics - 2024 |
Statistiques | ||
| 2024
ART |
Marc Grossouvre, Didier Rullière, Jonathan Villot
Predicting missing Energy Performance Certificates: Spatial interpolation of mixture distributions Energy and IA - 2024 |
Maths | ||
| 2024
ART |
Marc Grossouvre, Didier Rullière, Jonathan Villot
Enhancing buildings' energy efficiency prediction through advanced data fusion and fuzzy classification Energy and Buildings - 2024 |
Sciences de l'homme et de la societe | ||
| 2024
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient constrained Gaussian process approximation using elliptical slice sampling |
Statistiques | ||
| 2024
COMM |
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Augmented Quantization: a General Approach to Mixture Models UQ 2024 - SIAM Conference on Uncertainty Quantification - 2024 |
Statistiques | ||
| 2024
ART |
Tanguy Appriou, Didier Rullière, David Gaudrie
High-dimensional Bayesian Optimization with a Combination of Kriging models Structural and Multidisciplinary Optimization - 2024 |
Statistiques | ||
| 2024
REPORT |
Christophette Blanchet-Scalliet, Céline Helbert, Delphine Sinoquet, Miguel Munoz Munoz Zuniga, Rodolphe Le Riche, Didier Rullière, Clémentine Prieur, Olivier Zahm, Josselin Garnier, Dimo Brockhoff, Olivier Roustant, François Bachoc, Luc Pronzato, Yann Richet, Jérémy Rohmer, Frédéric Huguet, David Gaudrie, Amandine Marrel, Baptiste Kerleguer, Thomas Perrillat-Bottonet, Cedric Durantin
Activity report ciroquo research & industry consortium |
Sciences de l'ingenieur | ||
| 2024
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Bayesian analysis of constrained Gaussian processes Bayesian Analysis - 2024 |
Statistiques | ||
| 2023
ART |
Marc Grossouvre, Didier Rullière, Jonathan Villot
Mixture kriging for granular data: The case of energy performance certificate prediction Science Talks - 2023 |
Sciences de l'environnement | ||
| 2023
COMM |
Didier Rullière, Marc Grossouvre
On Multi-Output Kriging and Constrained Classification Séminaire Statistique LMA - 2023 |
Statistiques | ||
| 2023
UNDEFINED |
Charlie Sire, Didier Rullière, Rodolphe Le Riche, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Augmented quantization: a general approach to mixture models |
Maths | ||
| 2023
UNDEFINED |
Charlie Sire, Yann Richet, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin
FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations |
Statistiques | ||
| 2023
COMM |
Marc Grossouvre, Didier Rullière, Jonathan Villot
About spatial interpolation using mixture distributions for predicting Energy Performance Certificate 54es Journées de Statistique la Société Française de Statistique (SFdS) - 2023 |
Sciences de l'ingenieur | ||
| 2023
ART |
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Quantizing rare random maps: application to flooding visualization Journal of Computational and Graphical Statistics - 2023 |
Statistiques | ||
| 2023
COMM |
Tanguy Appriou, David Gaudrie, Didier Rullière
Bayesian Optimization For High-Dimensional Problems Using A Combination Of Kriging Surrogate Models Journées Scientifiques du CIROQUO - 2023 |
Statistiques | ||
| 2023
COMM |
Didier Rullière, Rodolphe Le Riche
On Gaussian Processes for Spatial Modeling and Optimization Joint HUST-LIMOS online Workshop on Operations Research, AI and Networks (ORAIN 2023) - 2023 |
Maths | ||
| 2023
COMM |
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Augmented quantization : a general approach to mixture models MASCOT-NUM2023 - 2023 |
Statistiques | ||
| 2023
POSTER |
Tanguy Appriou, Didier Rullière, David Gaudrie
Bayesian Optimization in High-dimension via a Combination of Kriging sub-models |
Statistiques | ||
| 2023
OTHER |
Marc Grossouvre, Jonathan Villot, Didier Rullière
Prédire la performance énergétique des bâtiments |
Sciences de l'environnement | ||
| 2023
COUV |
Hassan Maatouk, Didier Rullière, Xavier Bay
Large scale Gaussian processes with Matheron's update rule and Karhunen-Loève expansion |
Statistiques | ||
| 2022
ART |
Hassan Maatouk, Xavier Bay, Didier Rullière
A note on simulating hyperplane-truncated multivariate normal distributions Statistics and Probability Letters - 2022 |
Statistiques | ||
| 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
POSTER |
Marc Grossouvre, Didier Rullière
Mixture kriging on granular data |
Statistiques | ||
| 2022
COMM |
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Quantization applied to the visualization of low-probability flooding events The 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022) - 2022 |
Sciences de l'ingenieur | ||
| 2022
COMM |
Charlie Sire, R. Le Riche, D. Rulliere, Jérémy Rohmer, L. Pheulpin, Y. Richet
Quantization applied to the visualization of low-probability flooding events SIAM UQ22 - Siam Conference on Uncertainty Quantification - 2022 |
Statistiques | ||
| 2022
COMM |
Charlie Sire, Yann Richet, Lucie Pheulpin, Jérémy Rohmer, Rodolphe Le Riche, Didier Rullière
Robust inversion under uncertainty for flooding risk analysis SIAM Conference on Uncertainty Quantification (UQ22) - 2022 |
Sciences de l'ingenieur | ||
| 2021
ART |
Oskar Laverny, Esterina Masiello, Véronique Maume-Deschamps, Didier Rullière
Estimation of multivariate generalized gamma convolutions through Laguerre expansions Electronic Journal of Statistics - 2021 |
Maths | ||
| 2021
COMM |
Charlie Sire, Yann Richet, Jeremy Rohmer, Rodolphe Le Riche, Didier Rullière, Lucie Pheulpin
Robust inversion for risk analysis – application to the failure of defences against floodin 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021) - 2021 |
Informatique/Modélisation et simulation | ||
| 2021
ART |
Oskar Laverny, Esterina Masiello, Véronique Maume-Deschamps, Didier Rullière
Dependence structure estimation using Copula Recursive Trees Journal of Multivariate Analysis - 2021 |
Maths | ||
| 2021
COMM |
Charlie Sire, Rodolphe Le Riche, Didier Rulliere, Lucie Pheulpin, Yann Richet
Robust inversion under uncertainty for risk analysis – application to the failure of defences against flooding MASCOT 21 Meeting, GDR - 2021 |
Maths | ||
| 2020
UNDEFINED |
Nabil Kazi-Tani, Didier Rullière
A new proof of Williamson's representation of multiply monotone functions |
Maths | ||
| 2018
ART |
Didier Rullière, Nicolas Durrande, François Bachoc, Clément Chevalier
Nested Kriging predictions for datasets with large number of observations Statistics and Computing - 2018 |
Informatique/Modélisation et simulation | ||
| 2015
ART |
Mickaël Binois, Didier Rullière, Olivier Roustant
On the estimation of Pareto fronts from the point of view of copula theory Information Sciences - 2015 |
Statistiques | ||
| 2015
COMM |
Mickaël Binois, Didier Rullière, Olivier Roustant
Application des copules à l'estimation de fronts de Pareto 47èmes Journées de Statistique de la SFdS - 2015 |
Informatique/Modélisation et simulation |