Tim Roith

According to our database, Tim Roith authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Adversarial flows: A gradient flow characterization of adversarial attacks.

Lukas Weigand, Tim Roith, Martin Burger

CoRR, 2024

2023

Continuum Limit of Lipschitz Learning on Graphs.

Tim Roith, Leon Bungert

Found. Comput. Math., April, 2023

Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow.

Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger

CoRR, 2023

Resolution-Invariant Image Classification Based on Fourier Neural Operators.

Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022

A Bregman Learning Framework for Sparse Neural Networks.

Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger

J. Mach. Learn. Res., 2022

Polarized consensus-based dynamics for optimization and sampling.

Leon Bungert, Tim Roith, Philipp Wacker

CoRR, 2022

Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian.

Leon Bungert, Jeff Calder, Tim Roith

CoRR, 2022

2021

Uniform Convergence Rates for Lipschitz Learning on Graphs.

Leon Bungert, Jeff Calder, Tim Roith

CoRR, 2021

Neural Architecture Search via Bregman Iterations.

Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger

CoRR, 2021

CLIP: Cheap Lipschitz Training of Neural Networks.

Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021