Leon Bungert

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Image Reconstruction

Sparsely Sampled

Top Venues

SIAM/ASA J. Uncertain. Quantification

SIAM J. Imaging Sci.

Publications

Leon Bungert, Jeff Calder, Max Mihailescu, Kodjo Houssou, Amber Yuan
Convergence rates for Poisson learning to a Poisson equation with measure data. CoRR (2024)
Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck
The Infinity Laplacian Eigenvalue Problem: Reformulation and a Numerical Scheme. J. Sci. Comput. 98 (2) (2024)
Leon Bungert, Tim Laux, Kerrek Stinson
A mean curvature flow arising in adversarial training. CoRR (2024)
Tim Roith, Leon Bungert
Continuum Limit of Lipschitz Learning on Graphs. Found. Comput. Math. 23 (2) (2023)
Leon Bungert, Philipp Wacker
Complete Deterministic Dynamics and Spectral Decomposition of the Linear Ensemble Kalman Inversion. SIAM/ASA J. Uncertain. Quantification 11 (1) (2023)
Leon Bungert, Nicolás García Trillos, Matt Jacobs, Daniel McKenzie, Dorde Nikolic, Qingsong Wang
It begins with a boundary: A geometric view on probabilistically robust learning. CoRR (2023)
Leon Bungert, Tim Roith, Philipp Wacker
Polarized consensus-based dynamics for optimization and sampling. CoRR (2022)
Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
A Bregman Learning Framework for Sparse Neural Networks. J. Mach. Learn. Res. 23 (2022)
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. ICML (2022)
Leon Bungert, Kerrek Stinson
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning. CoRR (2022)
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 (2022)
Leon Bungert, Jeff Calder, Tim Roith
Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian. CoRR (2022)
Leon Bungert, Philipp Wacker
Complete Dynamics and Spectral Decomposition of the Ensemble Kalman Inversion. CoRR (2021)
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 (2021)
Leon Bungert, Nicolás García Trillos, Ryan Murray
The Geometry of Adversarial Training in Binary Classification. CoRR (2021)
Leon Bungert, Martin Burger
Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions. CoRR (2021)
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) (2021)
Leon Bungert, Jeff Calder, Tim Roith
Uniform Convergence Rates for Lipschitz Learning on Graphs. CoRR (2021)
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
CLIP: Cheap Lipschitz Training of Neural Networks. SSVM (2021)
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)
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
CLIP: Cheap Lipschitz Training of Neural Networks. CoRR (2021)
Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
A Bregman Learning Framework for Sparse Neural Networks. CoRR (2021)
Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
Neural Architecture Search via Bregman Iterations. CoRR (2021)
Leon Bungert, Matthias J. Ehrhardt
Robust Image Reconstruction with Misaligned Structural Information. CoRR (2020)
Leon Bungert, Matthias J. Ehrhardt
Robust Image Reconstruction With Misaligned Structural Information. IEEE Access 8 (2020)
Tim Roith, Leon Bungert
Continuum Limit of Lipschitz Learning on Graphs. CoRR (2020)
Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme. CoRR (2020)
Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb
Variational regularisation for inverse problems with imperfect forward operators and general noise models. CoRR (2020)
Leon Bungert, Martin Burger, Daniel Tenbrinck
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. CoRR (2019)
Leon Bungert, Martin Burger, Daniel Tenbrinck
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. SSVM (2019)
Vadym Aizinger, Leon Bungert, Michael Fried
Comparison of two local discontinuous Galerkin formulations for the subjective surfaces problem. Comput. Vis. Sci. 18 (6) (2018)
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 (2017)
Leon Bungert, Vadym Aizinger, Michael Fried
A Discontinuous Galerkin Method for the Subjective Surfaces Problem. J. Math. Imaging Vis. 58 (1) (2017)