Leon Bungert

40 papers A* 1A 1Journal 35Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sparse Training of Neural Networks based on Multilevel Mirror Descent.
CoRR
Yannick Lunk, Sebastian J. Scott, Leon Bungert
2025 J jnl
Book Review: Optimal Mass Transport on Euclidean Spaces.
SIAM Rev.
Leon Bungert
2025 J jnl
Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies.
CoRR
Tim Roith, Leon Bungert, Philipp Wacker
2025 — conf
Meshless Shape Optimization Using Neural Networks and Partial Differential Equations on Graphs.
SSVM (2)
Eloi Martinet, Leon Bungert
2025 J jnl
Meshless Shape Optimization using Neural Networks and Partial Differential Equations on Graphs.
CoRR
Eloi Martinet, Leon Bungert
2025 J jnl
MirrorCBO: A consensus-based optimization method in the spirit of mirror descent.
CoRR
Leon Bungert, Franca Hoffmann, Dohyeon Kim, Tim Roith
2025 J jnl
Polarized consensus-based dynamics for optimization and sampling.
Math. Program.
Leon Bungert, Tim Roith, Philipp Wacker
2024 J jnl
A mean curvature flow arising in adversarial training.
CoRR
Leon Bungert, Tim Laux, Kerrek Stinson
2024 J jnl
Convergence rates for Poisson learning to a Poisson equation with measure data.
CoRR
Leon Bungert, Jeff Calder, Max Mihailescu, Kodjo Houssou, Amber Yuan
2024 J jnl
The Infinity Laplacian Eigenvalue Problem: Reformulation and a Numerical Scheme.
J. Sci. Comput.
Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck
2023 J jnl
Complete Deterministic Dynamics and Spectral Decomposition of the Linear Ensemble Kalman Inversion.
SIAM/ASA J. Uncertain. Quantification
Leon Bungert, Philipp Wacker
2023 J jnl
Continuum Limit of Lipschitz Learning on Graphs.
Found. Comput. Math.
Tim Roith, Leon Bungert
2023 J jnl
It begins with a boundary: A geometric view on probabilistically robust learning.
CoRR
Leon Bungert, Nicolás García Trillos, Matt Jacobs, Daniel McKenzie, Dorde Nikolic, Qingsong Wang
2022 J jnl
A Bregman Learning Framework for Sparse Neural Networks.
J. Mach. Learn. Res.
Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2022 J jnl
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning.
CoRR
Leon Bungert, Kerrek Stinson
2022 A* conf
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification.
ICML
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca
2022 J jnl
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification.
CoRR
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca
2022 J jnl
Polarized consensus-based dynamics for optimization and sampling.
CoRR
Leon Bungert, Tim Roith, Philipp Wacker
2022 J jnl
Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian.
CoRR
Leon Bungert, Jeff Calder, Tim Roith
2021 J jnl
A Bregman Learning Framework for Sparse Neural Networks.
CoRR
Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2021 — conf
CLIP: Cheap Lipschitz Training of Neural Networks.
SSVM
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
2021 J jnl
CLIP: Cheap Lipschitz Training of Neural Networks.
CoRR
Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
2021 J jnl
Complete Dynamics and Spectral Decomposition of the Ensemble Kalman Inversion.
CoRR
Leon Bungert, Philipp Wacker
2021 J jnl
Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions.
CoRR
Leon Bungert, Martin Burger
2021 J jnl
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis.
CoRR
Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier
2021 A conf
Identifying untrustworthy predictions in neural networks by geometric gradient analysis.
UAI
Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier
2021 J jnl
Neural Architecture Search via Bregman Iterations.
CoRR
Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2021 J jnl
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks.
SIAM J. Imaging Sci.
Leon Bungert, Ester Hait-Fraenkel, Nicolas Papadakis, Guy Gilboa
2021 J jnl
The Geometry of Adversarial Training in Binary Classification.
CoRR
Leon Bungert, Nicolás García Trillos, Ryan Murray
2021 J jnl
Uniform Convergence Rates for Lipschitz Learning on Graphs.
CoRR
Leon Bungert, Jeff Calder, Tim Roith
2020 J jnl
Continuum Limit of Lipschitz Learning on Graphs.
CoRR
Tim Roith, Leon Bungert
2020 J jnl
Robust Image Reconstruction With Misaligned Structural Information.
IEEE Access
Leon Bungert, Matthias J. Ehrhardt
2020 J jnl
Robust Image Reconstruction with Misaligned Structural Information.
CoRR
Leon Bungert, Matthias J. Ehrhardt
2020 J jnl
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme.
CoRR
Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck
2020 J jnl
Variational regularisation for inverse problems with imperfect forward operators and general noise models.
CoRR
Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb
2019 — conf
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction.
SSVM
Leon Bungert, Martin Burger, Daniel Tenbrinck
2019 J jnl
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction.
CoRR
Leon Bungert, Martin Burger, Daniel Tenbrinck
2018 J jnl
Comparison of two local discontinuous Galerkin formulations for the subjective surfaces problem.
Comput. Vis. Sci.
Vadym Aizinger, Leon Bungert, Michael Fried
2017 J jnl
A Discontinuous Galerkin Method for the Subjective Surfaces Problem.
J. Math. Imaging Vis.
Leon Bungert, Vadym Aizinger, Michael Fried
2017 J jnl
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation.
CoRR
Leon Bungert, David A. Coomes, Matthias J. Ehrhardt, Jennifer Rasch, Rafael Reisenhofer, Carola-Bibiane Schönlieb