One-dimensional phase retrieval with additional interference measurements. - Robert Beinert (CoRR, 2016)

Non-negativity constraints in the one-dimensional discrete-time phase retrieval problem. - Robert Beinert (CoRR, 2016)

Ambiguities in one-dimensional phase retrieval from magnitudes of a linear canonical transform. - Robert Beinert (CoRR, 2016)

Enforcing uniqueness in one-dimensional phase retrieval by additional signal information in time domain. - Robert Beinert; Gerlind Plonka (CoRR, 2016)

Fourier Phase Retrieval: Uniqueness and Algorithms. - Tamir Bendory; Robert Beinert; Yonina C. Eldar (CoRR, 2017)

Sparse Phase Retrieval of One-Dimensional Signals by Prony's Method. - Robert Beinert; Gerlind Plonka (Frontiers Appl. Math. Stat., 2017)

Phase Retrieval via Polarization in Dynamical Sampling. - Robert Beinert; Marzieh Hasannasab (SSVM, 2021)

Super-Resolution for Doubly-Dispersive Channel Estimation. - Robert Beinert; Peter Jung 001; Gabriele Steidl; Tom Szollmann (CoRR, 2021)

Tensor-Free Proximal Methods for Lifted Bilinear/Quadratic Inverse Problems with Applications to Phase Retrieval. - Robert Beinert; Kristian Bredies (Found. Comput. Math., 2021)

Robust PCA via Regularized Reaper with a Matrix-Free Proximal Algorithm. - Robert Beinert; Gabriele Steidl (J. Math. Imaging Vis., 2021)

Total variation-based phase retrieval for diffraction tomography. - Robert Beinert; Michael Quellmalz (CoRR, 2022)

Multi-Marginal Gromov-Wasserstein Transport and Barycenters. - Florian Beier; Robert Beinert; Gabriele Steidl (CoRR, 2022)

Multi-marginal Approximation of the Linear Gromov-Wasserstein Distance. - Florian Beier; Robert Beinert (CoRR, 2022)

Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography with an Arbitrarily Moving Object. - Robert Beinert; Michael Quellmalz (CoRR, 2022)

Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels. - Johannes Hertrich; Manuel Gräf; Robert Beinert; Gabriele Steidl (CoRR, 2022)

On a Linear Gromov-Wasserstein Distance. - Florian Beier; Robert Beinert; Gabriele Steidl (IEEE Trans. Image Process., 2022)

Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography. - Robert Beinert; Michael Quellmalz (SIAM J. Imaging Sci., 2022)

Prony-Based Super-Resolution Phase Retrieval of Sparse, Multidimensional Signals. - Robert Beinert; Saghar Rezaei (SSVM, 2023)

Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. - Johannes Hertrich; Robert Beinert; Manuel Gräf; Gabriele Steidl (SSVM, 2023)

Prony-Based Super-Resolution Phase Retrieval of Sparse, Multivariate Signals. - Robert Beinert; Saghar Rezaei (CoRR, 2023)

Sliced Optimal Transport on the Sphere. - Michael Quellmalz; Robert Beinert; Gabriele Steidl (CoRR, 2023)

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

On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. - Robert Beinert; Cosmas Heiss; Gabriele Steidl (SIAM J. Imaging Sci., 2023)

Phase retrieval and system identification in dynamical sampling via Prony's method. - Robert Beinert; Marzieh Hasannasab (Adv. Comput. Math., 2023)

Approximation of curve-based sleeve functions in high dimensions. - Robert Beinert (Adv. Comput. Math., 2023)

Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. - Paul Hagemann; Johannes Hertrich; Fabian Altekrüger; Robert Beinert; Jannis Chemseddine; Gabriele Steidl (ICLR, 2024)

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

On the dynamical system of principal curves in. - Robert Beinert; Arian Bërdëllima; Manuel Gräf; Gabriele Steidl (Commun. Stat. Simul. Comput., 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)

Tangential Fixpoint Iterations for Gromov-Wasserstein Barycenters. - Florian Beier; Robert Beinert (SIAM J. Imaging Sci., 2025)

Slicing the Gaussian Mixture Wasserstein Distance. - Moritz Piening; Robert Beinert (Trans. Mach. Learn. Res., 2025)

Joint Metric Space Embedding by Unbalanced OT with Gromov-Wasserstein Marginal Penalization. - Florian Beier; Moritz Piening; Robert Beinert; Gabriele Steidl (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)

A Novel Sliced Fused Gromov-Wasserstein Distance. - Moritz Piening; Robert Beinert (CoRR, 2025)