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Martin Burger

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation

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Nov 24, 2024
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Hypergraph $p$-Laplacian equations for data interpolation and semi-supervised learning

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Nov 19, 2024
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Adversarial flows: A gradient flow characterization of adversarial attacks

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Jun 11, 2024
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Hypergraph $p$-Laplacian regularization on point clouds for data interpolation

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May 02, 2024
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Continuum limit of $p$-biharmonic equations on graphs

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Apr 30, 2024
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Learned Regularization for Inverse Problems: Insights from a Spectral Model

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Dec 15, 2023
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Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow

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Dec 05, 2023
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Resolution-Invariant Image Classification based on Fourier Neural Operators

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Apr 02, 2023
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Convergent Data-driven Regularizations for CT Reconstruction

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Dec 14, 2022
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Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent

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Jul 01, 2022
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