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M. Burger

37 papers hereh-index 5513.1k citations288 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author17
  • middle author9
  • last author7

Across the 36 of 37 papers where every author was matched, so the position is known.

fields
  • math.AP19
  • math.OC7
  • math.NA4
  • cs.CV2
  • cs.LG2
  • physics.soc-ph1
same name
  • M. Burger — 11 papers, h 29
  • M. Burger — 3 papers, h 22
  • M. Burger — 2 papers, h 9
  • M. Burger — 2 papers, h 1
  • M. Burger — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132024
most citedOn inverse problems for semiconductor equations

26 citations · 35 across the 15 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

math.OC2015★ 1 cited

Bregman Distances in Inverse Problems and Partial Differential Equation

Martin Burger

The aim of this paper is to provide an overview of recent development related to Bregman distances outside its native areas of optimization and statistics. We discuss approaches in…

math.AP2015

Second-order edge-penalization in the Ambrosio-Tortorelli functional

Martin Burger, Teresa Esposito, Caterina Zeppieri

We propose and study two variants of the Ambrosio-Tortorelli functional where the first-order penalization of the edge variable v is replaced by a second-order term depending on…

math.OC2015

Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction

Eva-Maria Brinkmann, Martin Burger, Joana Grah

This paper introduces a novel variational approach for image compression motivated by recent PDE-based approaches combining edge detection and Laplacian inpainting. The essential f…

math.AP2015★ 3 cited

On a Boltzmann mean field model for knowledge growth

Martin Burger, Alexander Lorz, Marie-Therese Wolfram

In this paper we analyze a Boltzmann type mean field game model for knowledge growth, which was proposed by Lucas and Moll. We discuss the underlying mathematical model, which cons…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.