Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction. - Moritz Piening; Fabian Altekrüger; Johannes Hertrich; Paul Hagemann; Andrea Walther; Gabriele Steidl (CoRR, 2023)

Paired Wasserstein Autoencoders for Conditional Sampling. - Moritz Piening; Matthias Chung (CoRR, 2024)

T-FAKE: Synthesizing Thermal Images for Facial Landmarking. - Philipp Flotho; Moritz Piening; Anna Kukleva; Gabriele Steidl (CVPR, 2025)

Conditional Generative Models for Contrast-Enhanced Synthesis of T1W and T1 Maps in Brain MRI. - Moritz Piening; Fabian Altekrüger; Gabriele Steidl; Elke Hattingen; Eike Steidl (ISBI, 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)

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