LE RICHE - Rodolphe



F106 EMSE
rodolphe.le_riche@uca.fr
04 77 42 00 23
04 73 40 50 12
Researcher
http://www.emse.fr/~leriche
MAAD research Department : Models and Algorithms to support Decision making
Theme(s) : Team Metamodeling, Continuous Optimization and Applications (MOCA)

Last publication(s) at LIMOS :

All publications of Rodolphe LE RICHE at LIMOS

Last publication(s) at LIMOS :
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
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
Maths
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