Tim Roith

21 papers Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings.
CoRR
Laura Paul, Holger Rauhut, Martin Burger, Samira Kabri, Tim Roith
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 J jnl
Introduction to Regularization and Learning Methods for Inverse Problems.
CoRR
Danielle Bednarski, Tim Roith
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
2025 J jnl
Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference.
CoRR
Simon Welker, Lorenz Kuger, Tim Roith, Berthy Feng, Martin Burger, Timo Gerkmann, Henry N. Chapman
2024 J jnl
Adversarial flows: A gradient flow characterization of adversarial attacks.
CoRR
Lukas Weigand, Tim Roith, Martin Burger
2024 J jnl
CBX: Python and Julia Packages for Consensus-Based Interacting Particle Methods.
J. Open Source Softw.
Rafael Bailo, Alethea Barbaro, Susana N. Gomes, Konstantin Riedl, Tim Roith, Claudia Totzeck, Urbain Vaes
2023 J jnl
Continuum Limit of Lipschitz Learning on Graphs.
Found. Comput. Math.
Tim Roith, Leon Bungert
2023 J jnl
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow.
CoRR
Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger
2023 — conf
Resolution-Invariant Image Classification Based on Fourier Neural Operators.
SSVM
Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
2023 J jnl
Resolution-Invariant Image Classification based on Fourier Neural Operators.
CoRR
Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
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
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
Neural Architecture Search via Bregman Iterations.
CoRR
Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
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