Leon Bungert
Title
Cited by
Cited by
Year
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
242018
Solution paths of variational regularization methods for inverse problems
L Bungert, M Burger
Inverse Problems 35 (10), 105012, 2019
132019
Nonlinear spectral decompositions by gradient flows of one-homogeneous functionals
L Bungert, M Burger, A Chambolle, M Novaga
arXiv preprint arXiv:1901.06979, 2019
122019
Asymptotic Profiles of Nonlinear Homogeneous Evolution Equations of Gradient Flow Type
L Bungert, M Burger
Journal of Evolution Equations, 2019
112019
Computing nonlinear eigenfunctions via gradient flow extinction
L Bungert, M Burger, D Tenbrinck
International Conference on Scale Space and Variational Methods in Computer …, 2019
62019
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
62017
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
52018
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
42020
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme
F Bozorgnia, L Bungert, D Tenbrinck
arXiv preprint arXiv:2004.08127, 2020
22020
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
L Bungert, E Hait-Fraenkel, N Papadakis, G Gilboa
arXiv preprint arXiv:2003.04595, 2020
22020
Robust blind image fusion for misaligned hyperspectral imaging data
L Bungert, MJ Ehrhardt, R Reisenhofer
PAMM 18 (1), e201800033, 2018
22018
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
12021
Continuum Limit of Lipschitz Learning on Graphs
T Roith, L Bungert
arXiv preprint arXiv:2012.03772, 2020
12020
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
12020
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
12020
Supporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation
MJ Ehrhardt, L Bungert, D Coomes, CB Schoenlieb, J Rasch, ...
https://www.repository.cam.ac.uk/handle/1810/270276, 2017
12017
CLIP: Cheap Lipschitz Training of Neural Networks
L Bungert, R Raab, T Roith, L Schwinn, D Tenbrinck
arXiv preprint arXiv:2103.12531, 2021
2021
Robust Image Reconstruction with Misaligned Structural Information
L Bungert, MJ Ehrhardt
IEEE Access 8, 222944-222955, 2020
2020
L-Infinity Variational Problems on Graphs: Applications and Continuum Limits
L Bungert, T Roith
2020
Nonlinear Spectral Analysis with Variational Methods
L Bungert
Friedrich-Alexander Universität Erlangen-Nürnberg, 2020
2020
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Articles 1–20