Guillaume Garrigos

My research essentially focuses on dynamical systems associated to optimization problems. In particular, I am interested in algorithms and regularization methods for nonsmooth (eventually nonconvex) problems arising in signal/image processing and machine learning. I am particularly interested in the interplay between the modelization of an inverse problem as an optimization problem, and its resolution. I also have some taste for multi-objective optimization problems.

I have CNRS postdoctoral position at the École Normale Supérieure (DMA). I am member of the NORIA (Numerical Optimal tRansport for ImAging) research group, and regular visitor of the Mokaplan research group.