PEYRÉ Gabriel

Project in Prairie

The goal of my research project is to scale Optimal Transport methods both computationally and statistically to handle high dimensional machine learning problems. As deputy scientific director of PRAIRIE, I help to coordinate the research and teaching effort of the project. I am also be involved through my chair in fundamental and collaborative researches, as well as in teaching and dissemination of research.

Optimal transport (OT) is a fundamental mathematical theory at the interface between optimization, partial differential equations and probability. It has recently emerged as an important tool to tackle a surprisingly large range of problems in data sciences, such as shape registration in medical imaging, structured prediction problems in supervised learning and training deep generative networks.

PEYRÉ Gabriel