Tim Roith

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Fourier Spectrum

Sparse Representation

Top Venues

Found. Comput. Math.

J. Mach. Learn. Res.

Publications

Lukas Weigand, Tim Roith, Martin Burger
Adversarial flows: A gradient flow characterization of adversarial attacks. CoRR (2024)
Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
Resolution-Invariant Image Classification Based on Fourier Neural Operators. SSVM (2023)
Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow. CoRR (2023)
Tim Roith, Leon Bungert
Continuum Limit of Lipschitz Learning on Graphs. Found. Comput. Math. 23 (2) (2023)
Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
Resolution-Invariant Image Classification based on Fourier Neural Operators. 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)
Leon Bungert, Jeff Calder, Tim Roith
Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian. CoRR (2022)
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)
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)
Tim Roith, Leon Bungert
Continuum Limit of Lipschitz Learning on Graphs. CoRR (2020)