activity
20092024
most citedA Sparse Multi-Scale Algorithm for Dense Optimal Transport

81 citations · 372 across the 27 of their papers we have counts for

collaborators

32 papers

math.AP2024

Continuum of coupled Wasserstein gradient flows

Clément Cancès, Daniel Matthes, Ismael Medina +1

We study a system of drift-diffusion PDEs for a potentially infinite number of incompressible phases, subject to a joint pointwise volume constraint. Our analysis is based on the i…

math.OC2024

Domain decomposition for entropic unbalanced optimal transport

Ismael Medina, The Sang Nguyen, Bernhard Schmitzer

Solving large scale entropic optimal transport problems with the Sinkhorn algorithm remains challenging, and domain decomposition has been shown to be an efficient strategy for pro…

math.OC2024★ 1 cited

Formulas for the -mass on -currents with coefficients in

Julius Lohmann, Bernhard Schmitzer, Benedikt Wirth

We consider the minimization of the -mass over normal -currents in with coefficients in and prescribed boundary. This optimization is known as m…

math.NA2024★ 1 cited

Flow updates for domain decomposition of entropic optimal transport

Ismael Medina, Bernhard Schmitzer

Domain decomposition has been shown to be a computationally efficient distributed method for solving large scale entropic optimal transport problems. However, a naive implementatio…

math.OC2023

A Bayesian model for dynamic mass reconstruction from PET listmode data

Marco Mauritz, Bernhard Schmitzer, Benedikt Wirth

Positron emission tomography (PET) is a classical imaging technique to reconstruct the mass distribution of a radioactive material. If the mass distribution is static, this essenti…

math.OC2023

Linearized optimal transport on manifolds

Clément Sarrazin, Bernhard Schmitzer

Optimal transport is a geometrically intuitive, robust and flexible metric for sample comparison in data analysis and machine learning. Its formal Riemannian structure allows for a…