RULLIERE - Didier

Toutes les publications (19)
Date/Type Titre/URL/journal Domaines Notes SJR/Core Cit. GScholar
2026
UNDEFINED
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, David Gaudrie, Xavier Bay, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application to the prediction of perfect flows
Informatique/Analyse numérique
2026
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Truncated multivariate normal distribution under linear and nonlinear constraints
Technometrics - 2026
Statistiques
2025
UNDEFINED
Charlie Sire, Didier Rullière, Rodolphe Le Riche, Jérémy Rohmer, Yann Richet, Lucie Pheulpin
Augmented Quantization: Mixture Models for Risk-Oriented Sensitivity Analysis
Statistiques
2025
COMM
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application to prediction of perfect flows
PGMO (Programme Gaspard Monge pour l'Optimisation) DAYS 2025 - 2025
Informatique/Modélisation et simulation
2025
COMM
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application in fluid dynamics
Journées Scientifiques du consortium CIROQUO - 2025
Informatique/Modélisation et simulation
2025
ART
Didier Rullière, Marc Grossouvre
A Joint Kriging Model with Application to Constrained Classification
Statistics and Computing - 2025
Statistiques
2025
POSTER
Didier Rullière, Rodolphe Le Riche, Xavier Bay, Soumyodeep Mukhopadhyay, Victor Trappler, Hassan Maatouk, Tanguy Appriou, Laurent Genest, David Gaudrie, Marc Grossouvre, Christophette Blanchet-Scalliet, Céline Helbert, Sébastien da Veiga, Julien Pelamatti, Reda El Amri, Youssef Diouane, Victor Picheny, Alexandre Scotto Di Perrotolo
Gaussian Processes: from knowledge-informed Machine Learning to optimization
Informatique/Apprentissage
2025
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient constrained Gaussian process approximation using elliptical slice sampling
Bayesian Analysis - 2025
Maths
2025
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Bayesian analysis of constrained Gaussian processes
Bayesian Analysis - 2025
Statistiques
2025
POSTER
Soumyodeep Mukhopadhyay, Rodolphe Le Riche, Xavier Bay, Didier Rullière, Laurent Genest, David Gaudrie
Multi-output Gaussian Process Regression: from shape parameters to vector-valued fluid flow
Informatique/Modélisation et simulation
2025
POSTER
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Kriging under differential information: application to prediction of perfect flows
Informatique/Modélisation et simulation
2025
POSTER
H. Maatouk, Didier Rullière, Xavier Bay
Bayesian Linear Models for Large Datasets
Statistiques
2025
UNDEFINED
Hassan Maatouk, Didier Rullière, Xavier Bay
Adaptive finite-dimensional approximation of constrained Gaussian processes for large datasets
Statistiques
2025
POSTER
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Collocation-based kriging with applications to the prediction of perfect flows
Informatique/Modélisation et simulation
2025
COUV
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient Bayesian Linear Models for a Large Number of Observations
Maths
2025
COMM
Didier Rullière, Marc Grossouvre
Some considerations on Kriging, Constraints and Classification
Journées de statistique et optimisation en Occitanie (JS2O) - 2025
Statistiques
2025
UNDEFINED
Hassan Maatouk, Didier Rullière, Xavier Bay
Bayesian linear models for large datasets: Markov chain Monte Carlo or Matheron's update rule
Statistiques
2025
ART
Anis Hoayek, Didier Rullière
Assessing clustering methods using Shannon's entropy
Information Sciences - 2025
Sciences de l'homme et de la societe
2025
ART
Hassan Maatouk, Didier Rullière, Xavier Bay
Large-scale constrained Gaussian processes for shape-restricted function estimation
Statistics and Computing - 2025
Maths