Project
EF1-25
Wasserstein Gradient Flows for Generalised Transport in Bayesian Inversion
Project Heads
Martin Eigel, Claudia Schillings, Gabriele Steidl
Project Members
Robert Gruhlke
Project Duration
01.01.2023 − 31.12.2024
Located at
FU Berlin
Description
Generalised gradient Wasserstein flows connect measure transport and interacting particle systems. The project combines the analysis of efficient numerical methods for gradient flows, associated SDEs and compressed functional approximations in the context of Bayesian inversion with parametric PDEs and image reconstruction tasks.
External Website
Related Publications
Related Pictures