ETICS Annual Research Schools

École Thématique sur les Incertitudes en Calcul Scientifique

The goal of this school is to develop the skills of researchers and engineers in the domain of uncertainty management of computer codes and machine learning techniques in support to engineering studies. Some of the lectures are followed by practical computer works. Collaborative works, round tables and poster sessions allow to promote exchanges between participants. The prerequisites to possess are the mathematical bases of the uncertainty quantification science.

The language of this ETICS edition will be in French - Les cours de cette édition d'ETICS seront dispensés en français

Lecturers (preliminary program):

•     Prof. Sébastien Da Veiga (ENSAI, France) - Tutorial on conformal prediction, with a discussion for numerical experiments
•     Prof. Bruno Galerne (Université d'Orléans, France) - Introduction to image generative models
•     Prof. Pierre L'Ecuyer (Université de Montréal, Canada): Introduction to randomized quasi-Monte Carlo methods in simulation

Plus d'informations sur : https://uq.math.cnrs.fr/etics