BAY - Xavier
None EMSE
bay@emse.fr
04 77 42 00 23
Researcher teacher
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 Xavier BAY at LIMOS
Last publication(s) at LIMOS :
Last publication(s) at LIMOS :
| 2026
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Truncated multivariate normal distribution under linear and nonlinear constraints Technometrics - 2026 |
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
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 |