Leon Bungert
Leon Bungert
PostDoc, Hausdorff Center for Mathematics, University of Bonn
Verified email at hcm.uni-bonn.de - Homepage
Cited by
Cited by
Blind image fusion for hyperspectral imaging with the directional total variation
L Bungert, DA Coomes, MJ Ehrhardt, J Rasch, R Reisenhofer, ...
Inverse Problems 34 (4), 044003, 2018
Nonlinear spectral decompositions by gradient flows of one-homogeneous functionals
L Bungert, M Burger, A Chambolle, M Novaga
Analysis & PDE 14 (3), 823-860, 2021
Solution paths of variational regularization methods for inverse problems
L Bungert, M Burger
Inverse Problems 35 (10), 105012, 2019
Asymptotic Profiles of Nonlinear Homogeneous Evolution Equations of Gradient Flow Type
L Bungert, M Burger
Journal of Evolution Equations, 2019
Computing nonlinear eigenfunctions via gradient flow extinction
L Bungert, M Burger, D Tenbrinck
International Conference on Scale Space and Variational Methods in Computer …, 2019
Variational regularisation for inverse problems with imperfect forward operators and general noise models
L Bungert, M Burger, Y Korolev, CB Schönlieb
Inverse Problems 36 (12), 125014, 2020
Structural analysis of an L-infinity variational problem and relations to distance functions
L Bungert, Y Korolev, M Burger
Pure and Applied Analysis 2 (3), 703-738, 2020
A discontinuous Galerkin method for the subjective surfaces problem
L Bungert, V Aizinger, M Fried
Journal of Mathematical Imaging and Vision 58 (1), 147-161, 2017
Comparison of two local discontinuous Galerkin formulations for the subjective surfaces problem
V Aizinger, L Bungert, M Fried
Computing and Visualization in Science 18 (6), 193-202, 2018
Continuum Limit of Lipschitz Learning on Graphs
T Roith, L Bungert
arXiv preprint arXiv:2012.03772, 2020
CLIP: Cheap Lipschitz Training of Neural Networks
L Bungert, R Raab, T Roith, L Schwinn, D Tenbrinck
arXiv preprint arXiv:2103.12531, 2021
Identifying untrustworthy predictions in neural networks by geometric gradient analysis
L Schwinn, A Nguyen, R Raab, L Bungert, D Tenbrinck, D Zanca, ...
arXiv preprint arXiv:2102.12196, 2021
Nonlinear power method for computing eigenvectors of proximal operators and neural networks
L Bungert, E Hait-Fraenkel, N Papadakis, G Gilboa
SIAM Journal on Imaging Sciences 14 (3), 1114-1148, 2021
Robust Image Reconstruction With Misaligned Structural Information
L Bungert, MJ Ehrhardt
IEEE Access 8, 222944-222955, 2020
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme
F Bozorgnia, L Bungert, D Tenbrinck
arXiv preprint arXiv:2004.08127, 2020
Nonlinear Spectral Analysis with Variational Methods
L Bungert
Friedrich-Alexander Universität Erlangen-Nürnberg, 2020
The lion in the attic--A resolution of the Borel--Kolmogorov paradox
L Bungert, P Wacker
arXiv preprint arXiv:2009.04778, 2020
Localization of passive 3-D coils as an inverse problem: theoretical analysis and a numerical method
M Doß, L Bungert, D Cichon, H Brauer, R Psiuk
IEEE Transactions on Magnetics 56 (4), 1-10, 2020
Robust blind image fusion for misaligned hyperspectral imaging data
L Bungert, MJ Ehrhardt, R Reisenhofer
PAMM 18 (1), e201800033, 2018
Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions
L Bungert, M Burger
arXiv preprint arXiv:2105.08405, 2021
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