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
Showing 2016Show all

13 papers · 1 filter

math.OC2016★ 4 cited

Controlling a self-organizing system of individuals guided by a few external agents -- particle description and mean-field limit

Martin Burger, René Pinnau, Andreas Roth +2

Optimal control of large particle systems with collective dynamics by few agents is a subject of high practical importance (e.g. in evacuation dynamics), but still limited mathemat…

math.AP2016★ 12 cited

Pattern formation of a nonlocal, anisotropic interaction model

Martin Burger, Bertram Düring, Lisa Maria Kreusser +2

We consider a class of interacting particle models with anisotropic, repulsive-attractive interaction forces whose orientations depend on an underlying tensor field. An example of…

math.AP2016

On a cross-diffusion model for multiple species with nonlocal interaction and size exclusion

Judith Berendsen, Martin Burger, Jan-Frederik Pietschmann

The aim of this paper is to study a PDE model for two diffusing species interacting by local size exclusion and global attraction. This leads to a nonlinear degenerate cross-diffus…

q-bio.QM2016

Mathematical Imaging Methods for Mitosis Analysis in Live-Cell Phase Contrast Microscopy

Joana Sarah Grah, Jennifer Alison Harrington, Siang Boon Koh +5

In this paper we propose a workflow to detect and track mitotic cells in time-lapse microscopy image sequences. In order to avoid the requirement for cell lines expressing fluoresc…

cs.CV2016

Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems

Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks +1

We propose an adaptive regularization scheme in a variational framework where a convex composite energy functional is optimized. We consider a number of imaging problems including…

math.NA2016★ 4 cited

Bregman Cost for Non-Gaussian Noise

Martin Burger, Yiqiu Dong, Federica Sciacchitano

One of the tasks of the Bayesian inverse problem is to find a good estimate based on the posterior probability density. The most common point estimators are the conditional mean (C…

math.AP2016★ 19 cited

Cross-diffusion systems with excluded volume effects and asymptotic gradient flows

Maria Bruna, Martin Burger, Helene Ranetbauer +1

In this paper we discuss the analysis of a cross-diffusion PDE system for a mixture of hard spheres, which was derived by Bruna and Chapman from a stochastic system of interacting…

math.NA2016

A Variational Model for Joint Motion Estimation and Image Reconstruction

Martin Burger, Hendrik Dirks, Carola-Bibiane Schönlieb

The aim of this paper is to derive and analyze a variational model for the joint estimation of motion and reconstruction of image sequences, which is based on a time-continuous Eul…

math.NA2016★ 12 cited

Simultaneous Reconstruction and Segmentation for Dynamic SPECT Imaging

Martin Burger, Carolin Rossmanith, Xiaoqun Zhang

This work deals with the reconstruction of dynamic images that incorporate characteristic dynamics in certain subregions, as arising for the kinetics of many tracers in emission to…

math.NA2016★ 3 cited

Bias-Reduction in Variational Regularization

Eva-Maria Brinkmann, Martin Burger, Julian Rasch +1

The aim of this paper is to introduce and study a two-step debiasing method for variational regularization. After solving the standard variational problem, the key idea is to add a…

math.AP2016

Balanced growth path solutions of a Boltzmann mean field game model for knowledge growth

Martin Burger, Alexander Lorz, Marie-Therese Wolfram

In this paper we study balanced growth path solutions of a Boltzmann mean field game model proposed by Lucas et al [13] to model knowledge growth in an economy. Agents can either i…

math.NA2016

Large Noise in Variational Regularization

Martin Burger, Tapio Helin, Hanne Kekkonen

In this paper we consider variational regularization methods for inverse problems with large noise that is in general unbounded in the image space of the forward operator. We intro…

math.NA2016

Spectral Decompositions using One-Homogeneous Functionals

Martin Burger, Guy Gilboa, Michael Moeller +2

This paper discusses the use of absolutely one-homogeneous regularization functionals in a variational, scale space, and inverse scale space setting to define a nonlinear spectral…