Martin Burger

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A tunable despeckling neural network stabilized via diffusion equation.
Signal Process.
Yi Ran, Zhichang Guo, Jia Li, Yao Li, Martin Burger, Boying Wu
2026 J jnl
Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings.
CoRR
Laura Paul, Holger Rauhut, Martin Burger, Samira Kabri, Tim Roith
2026 J jnl
The Graph \(\boldsymbol{\infty }\)-Laplacian Eigenvalue Problem.
SIAM J. Math. Anal.
Piero Deidda, Martin Burger, Mario Putti, Francesco Tudisco
2025 J jnl
Continuum Limit of \(p\)-Biharmonic Equations on Graphs.
SIAM J. Math. Anal.
Kehan Shi, Martin Burger
2025 J jnl
Explainable Learning Based Regularization of Inverse Problems.
CoRR
Martin Burger, Samira Kabri, Gitta Kutyniok, Yunseok Lee, Lukas Weigand
2025 J jnl
Hypergraph p-Laplacian Equations for Data Interpolation and Semi-supervised Learning.
J. Sci. Comput.
Kehan Shi, Martin Burger
2024 J jnl
A Tunable Despeckling Neural Network Stabilized via Diffusion Equation.
CoRR
Yi Ran, Zhichang Guo, Jia Li, Yao Li, Martin Burger, Boying Wu
2024 J jnl
Adversarial flows: A gradient flow characterization of adversarial attacks.
CoRR
Lukas Weigand, Tim Roith, Martin Burger
2024 J jnl
Continuum limit of
CoRR
Kehan Shi, Martin Burger
2024 J jnl
Hypergraph
CoRR
Kehan Shi, Martin Burger
2024 J jnl
Hypergraph p-Laplacian regularization on point clouds for data interpolation.
CoRR
Kehan Shi, Martin Burger
2023 J jnl
Ill-posedness of time-dependent inverse problems in Lebesgue-Bochner spaces.
CoRR
Martin Burger, Thomas Schuster, Anne Wald