MOKAPLAN is a joint INRIA-CNRS-Université Paris-Dauphine INRIA Team. We develop numerical methods, algorithms and softwares to solve variational problems related to optimal transport (MoKa stands for Monge-Kantorovitch) and inverse problems in imaging sciences. The range of potential outputs is large and we focus on selected applications in social sciences, machine learning, imaging and optics.

MOKAPLAN is also