An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising. - Willem Diepeveen; Jan Lellmann (SIAM J. Imaging Sci., 2021)

Curvature corrected tangent space-based approximation of manifold-valued data. - Willem Diepeveen; Joyce A. Chew; Deanna Needell (CoRR, 2023)

Riemannian geometry for efficient analysis of protein dynamics data. - Willem Diepeveen; Carlos Esteve Yagüe; Jan Lellmann; Ozan Öktem; Carola-Bibiane Schönlieb (CoRR, 2023)

Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds. - Willem Diepeveen; Jan Lellmann; Ozan Öktem; Carola-Bibiane Schönlieb (SIAM J. Imaging Sci., 2023)

Pulling back symmetric Riemannian geometry for data analysis. - Willem Diepeveen (CoRR, 2024)

Score-based pullback Riemannian geometry. - Willem Diepeveen; Georgios Batzolis; Zakhar Shumaylov; Carola-Bibiane Schönlieb (CoRR, 2024)

Pullback Flow Matching on Data Manifolds. - Friso de Kruiff; Erik J. Bekkers; Ozan Öktem; Carola-Bibiane Schönlieb; Willem Diepeveen (CoRR, 2024)

Direct Atomistic Reconstruction in Homogeneous Cryo-EM Using Protein Geometry Regularization. - Jonathan Krook; Willem Diepeveen; Ozan Öktem (SSVM (1), 2025)

Curvature Corrected Nonnegative Manifold Data Factorization. - Joyce A. Chew; Willem Diepeveen; Deanna Needell (CoRR, 2025)

Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian Geometry. - Willem Diepeveen; Deanna Needell (CoRR, 2025)

Latent Diffeomorphic Dynamic Mode Decomposition. - Willem Diepeveen; Jon Schwenk; Andrea L. Bertozzi (Appl. Math. Lett., 2026)