activity
20112024
most citedMaximum-A-Posteriori Estimates in Linear Inverse Problems with Log-concave Priors are Proper Bayes Estimators

55 citations · 598 across the 84 of their papers we have counts for

collaborators

106 papers

physics.soc-ph2024

Asymptotic and stability analysis of kinetic models for opinion formation on networks: an Allen-Cahn approach

M. Burger, N. Loy, A. Rossi

We present the analysis of the stationary equilibria and their stability in case of an opinion formation process in presence of binary opposite opinions evolving according to major…

math.AP2023

Sharp interface analysis of a diffuse interface model for cell blebbing with linker dynamics

Philipp Nöldner, Martin Burger, Harald Garcke

We investigate the convergence of solutions of a recently proposed diffuse interface/phase field model for cell blebbing by means of matched asymptotic expansions. It is a biologic…

math.AP2023★ 3 cited

Covariance-modulated optimal transport and gradient flows

Martin Burger, Matthias Erbar, Franca Hoffmann +2

We study a variant of the dynamical optimal transport problem in which the energy to be minimised is modulated by the covariance matrix of the distribution. Such transport metrics…

math.NA2022

Convergent Data-driven Regularizations for CT Reconstruction

Samira Kabri, Alexander Auras, Danilo Riccio +4

The reconstruction of images from their corresponding noisy Radon transform is a typical example of an ill-posed linear inverse problem as arising in the application of computerize…

math.OC2022★ 1 cited

Boltzmann mean-field game model for knowledge growth: limits to learning and general utilities

Martin Burger, Laura Kanzler, Marie-Therese Wolfram

In this paper we investigate a generalisation of a Boltzmann mean field game (BMFG) for knowledge growth, originally introduced by the economists Lucas and Moll. In BMFG the evolut…

math.AP2022

Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent

Martin Burger, Alex Rossi

In this paper we provide a novel approach to the analysis of kinetic models for label switching, which are used for particle systems that can randomly switch between gradient flows…