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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

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Showing 2020Show all

9 papers · 1 filter

math.AP2020★ 26 cited

On inverse problems for semiconductor equations

M. Burger, H. W. Engl, A. Leitão +1

This paper is devoted to the investigation of inverse problems related to stationary drift-diffusion equations modeling semiconductor devices. In this context we analyze several id…

math.OC2020★ 5 cited

Mean-field optimal control for biological pattern formation

Martin Burger, Lisa Maria Kreusser, Claudia Totzeck

We propose a mean-field optimal control problem for the parameter identification of a given pattern. The cost functional is based on the Wasserstein distance between the probabilit…

math.OC2020★ 10 cited

Adaptive Superresolution in Deconvolution of Sparse Peaks

Alexandra Koulouri, Pia Heins, Martin Burger

The aim of this paper is to investigate superresolution in deconvolution driven by sparsity priors. The observed signal is a convolution of an original signal with a continuous ker…

math.AP2020

Network structured kinetic models of social interactions

Martin Burger

The aim of this paper is to study the derivation of appropriate meso- and macroscopic models for interactions as appearing in social processes. There are two main characteristics t…

math.NA2020★ 13 cited

Sequentially optimized projections in X-ray imaging

Martin Burger, Andreas Hauptmann, Tapio Helin +2

This work applies Bayesian experimental design to selecting optimal projection geometries in (discretized) parallel beam X-ray tomography assuming the prior and the additive noise…

math.AP2020

Delayed Blow-Up for Chemotaxis Models with Local Sensing

Martin Burger, Philippe Laurençot, Ariane Trescases

The aim of this paper is to analyze a model for chemotaxis based on a local sensing mechanism instead of the gradient sensing mechanism used in the celebrated minimal Keller-Segel…

math.NA2020★ 12 cited

Variational regularisation for inverse problems with imperfect forward operators and general noise models

Leon Bungert, Martin Burger, Yury Korolev +1

We study variational regularisation methods for inverse problems with imperfect forward operators whose errors can be modelled by order intervals in a partial order of a Banach lat…

math.AP2020

Coarse graining of a Fokker-Planck equation with excluded volume effects preserving the gradient-flow structure

Maria Bruna, Martin Burger, José Antonio Carrillo

The propagation of gradient flow structures from microscopic to macroscopic models is a topic of high current interest. In this paper we discuss this propagation in a model for the…

math.AP2020★ 10 cited

Structural analysis of an -infinity variational problem and relations to distance functions

Leon Bungert, Yury Korolev, Martin Burger

In this work we analyse the functional defined on Lipschitz functions with homogeneous Dirichlet boundary conditions. Our analysis is performed di…