activity
20082026
most citedPassing to the Limit in a Wasserstein Gradient Flow: From Diffusion to Reaction

41 citations · 100 across the 17 of their papers we have counts for

collaborators

20 papers

math.AP2026

Well-posedness and discrete-to-continuum convergence of the Kirchhoff Network model

Joaquín Oyarzún, Marco Veneroni

In this work, we study the connection between the bidomain model of cardiac electrophysiology and the Kirchhoff Network model (KNM), that was recently introduced by Jäger and Tveit…

math.OC2025

On the computation of the infinity Wasserstein distance and the Wasserstein Projection Problem

Gennaro Auricchio, Gabriele Loli, Marco Veneroni

Computing the infinity Wasserstein distance and retrieving projections of a probability measure onto a closed subset of probability measures are critical sub-problems in various ap…

math.PR2024

Generalized Wasserstein Barycenters

Francesco Tornabene, Marco Veneroni, Giuseppe Savaré

We study the existence and uniqueness of the barycenter of a signed distribution of probability measures on a Hilbert space. The barycenter is found, as usual, as a minimum of a fu…

math.OC2021

On the Structure of Optimal Transportation Plans between Discrete Measures

Gennaro Auricchio, Marco Veneroni

In this paper, we prove a structure theorem for discrete optimal transportation plans. We show that, given any pair of discrete probability measures and a cost function, there exis…

math.OC2020★ 2 cited

The Equivalence of Fourier-based and Wasserstein Metrics on Imaging Problems

Gennaro Auricchio, Andrea Codegoni, Stefano Gualandi +2

We investigate properties of some extensions of a class of Fourier-based probability metrics, originally introduced to study convergence to equilibrium for the solution to the spat…

math.OC2018★ 5 cited

Computing Kantorovich-Wasserstein Distances on -dimensional histograms using -partite graphs

Gennaro Auricchio, Federico Bassetti, Stefano Gualandi +1

This paper presents a novel method to compute the exact Kantorovich-Wasserstein distance between a pair of -dimensional histograms having bins each. We prove that this probl…