Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization. - Robert Beinert; Jonas Bresch; Gabriele Steidl (CoRR, 2023)

Denoising Sphere-Valued Data by Relaxed Total Variation Regularization. - Robert Beinert; Jonas Bresch (CoRR, 2024)

Interpolating between Optimal Transport and KL regularized Optimal Transport using R 'enyi Divergences. - Jonas Bresch; Viktor Stein (CoRR, 2024)

Matrix-free stochastic calculation of operator norms without using adjoints. - Jonas Bresch; Dirk A. Lorenz; Felix Schneppe; Maximilian Winkler (CoRR, 2024)

Max-Normalized Radon Cumulative Distribution Transform for Limited Data Classification. - Matthias Beckmann; Robert Beinert; Jonas Bresch (SSVM (1), 2025)

Denoising Hyperbolic-Valued Data by Relaxed Regularizations. - Robert Beinert; Jonas Bresch (SSVM (1), 2025)

Computing adjoint mismatch of linear maps. - Jonas Bresch; Dirk A. Lorenz; Felix Schneppe; Maximilian Winkler (CoRR, 2025)

Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image Classification. - Matthias Beckmann; Robert Beinert; Jonas Bresch (CoRR, 2025)

Denoising Multi-Color QR Codes and Stiefel-Valued Data by Relaxed Regularizations. - Robert Beinert; Jonas Bresch (CoRR, 2025)

Unsupervised Ground Metric Learning. - Janis Auffenberg; Jonas Bresch; Oleh Melnyk; Gabriele Steidl (CoRR, 2025)