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2020 – today
- 2022
[i15]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. CoRR abs/2205.09619 (2022)- 2021
- [j4]Leon Bungert
, Ester Hait-Fraenkel, Nicolas Papadakis, Guy Gilboa:
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks. SIAM J. Imaging Sci. 14(3): 1114-1148 (2021) - [c3]Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck:
CLIP: Cheap Lipschitz Training of Neural Networks. SSVM 2021: 307-319 - [c2]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier:
Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI 2021: 854-864 - [i14]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier:
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR abs/2102.12196 (2021) - [i13]Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck:
CLIP: Cheap Lipschitz Training of Neural Networks. CoRR abs/2103.12531 (2021) - [i12]Leon Bungert, Philipp Wacker:
Complete Dynamics and Spectral Decomposition of the Ensemble Kalman Inversion. CoRR abs/2104.13281 (2021) - [i11]Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
A Bregman Learning Framework for Sparse Neural Networks. CoRR abs/2105.04319 (2021) - [i10]Leon Bungert, Martin Burger:
Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions. CoRR abs/2105.08405 (2021) - [i9]Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
Neural Architecture Search via Bregman Iterations. CoRR abs/2106.02479 (2021) - [i8]Leon Bungert, Jeff Calder, Tim Roith:
Uniform Convergence Rates for Lipschitz Learning on Graphs. CoRR abs/2111.12370 (2021) - [i7]Leon Bungert, Nicolás García Trillos, Ryan Murray:
The Geometry of Adversarial Training in Binary Classification. CoRR abs/2111.13613 (2021) - 2020
- [j3]Leon Bungert, Matthias J. Ehrhardt:
Robust Image Reconstruction With Misaligned Structural Information. IEEE Access 8: 222944-222955 (2020) - [i6]Leon Bungert, Matthias J. Ehrhardt:
Robust Image Reconstruction with Misaligned Structural Information. CoRR abs/2004.00589 (2020) - [i5]Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck:
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme. CoRR abs/2004.08127 (2020) - [i4]Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb:
Variational regularisation for inverse problems with imperfect forward operators and general noise models. CoRR abs/2005.14131 (2020) - [i3]Tim Roith, Leon Bungert:
Continuum Limit of Lipschitz Learning on Graphs. CoRR abs/2012.03772 (2020)
2010 – 2019
- 2019
- [c1]Leon Bungert, Martin Burger, Daniel Tenbrinck:
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. SSVM 2019: 291-302 - [i2]Leon Bungert, Martin Burger, Daniel Tenbrinck:
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. CoRR abs/1902.10414 (2019) - 2018
- [j2]Vadym Aizinger, Leon Bungert, Michael Fried:
Comparison of two local discontinuous Galerkin formulations for the subjective surfaces problem. Comput. Vis. Sci. 18(6): 193-202 (2018) - 2017
- [j1]Leon Bungert, Vadym Aizinger, Michael Fried:
A Discontinuous Galerkin Method for the Subjective Surfaces Problem. J. Math. Imaging Vis. 58(1): 147-161 (2017) - [i1]Leon Bungert, David A. Coomes, Matthias J. Ehrhardt, Jennifer Rasch, Rafael Reisenhofer, Carola-Bibiane Schönlieb:
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. CoRR abs/1710.05705 (2017)
Coauthor Index
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