3 papers
stat.ML2026
Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective
Meira Iske, Carola-Bibiane Schönlieb
Many normalizing flow architectures impose regularity constraints, yet their distributional approximation properties are not fully characterized. We study the expressivity of bi-Li…
math.NA2026
A remark on an error analysis for classical and learned Tikhonov regularization schemes
Arne Behrens, Meira Iske, Ming Jiang +2
This paper presents an error analysis of classical and learned Tikhonov regularization schemes for inverse problems. We first demonstrate, both theoretically and numerically, that…
math.NA2025
Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging
Meira Iske, Hannes Albers, Tobias Knopp +1
Magnetic Particle Imaging (MPI) is an emerging imaging modality based on the magnetic response of superparamagnetic iron oxide nanoparticles to achieve high-resolution and real-tim…