GT Transport optimal - EDP - Machine learning
1D approximation of measures in the Wasserstein topology and their Ambrosio-Tortorelli formulation
11
déc. 2023
déc. 2023
Intervenant : | João Machado |
Institution : | Université Paris-Dauphine PSL |
Heure : | 14h45 - 15h15 |
Lieu : | 2P8 |
In this talk we discuss a variational problem with the goal of approximating a general probability distribution with measures that are uniformly distributed over 1-dimensional (rectifiable) sets. After discussing the initial questions of existence and preliminary qualitative properties, we introduce a phase-field implementation, reminiscent of the work of Ambrosio and Tortorelli for the Mumford-Shah problem, that allows a unified approach to study this problem and the average distance minimization problem.