C1 Analysis of Hermite Subdivision Schemes on Manifolds. - Caroline Moosmüller (SIAM J. Numer. Anal., 2016)

Hermite subdivision on manifolds via parallel transport. - Caroline Moosmüller (Adv. Comput. Math., 2017)

A note on spectral properties of Hermite subdivision operators. - Caroline Moosmüller (Comput. Aided Geom. Des., 2019)

Linear Optimal Transport Embedding: Provable fast Wasserstein distance computation and classification for nonlinear problems. - Caroline Moosmüller; Alexander Cloninger (CoRR, 2020)

A Geometric Approach to the Transport of Discontinuous Densities. - Caroline Moosmüller; Felix Dietrich; Ioannis G. Kevrekidis (SIAM/ASA J. Uncertain. Quantification, 2020)

Factorization of Hermite subdivision operators from polynomial over-reproduction. - Caroline Moosmüller; Tomas Sauer (J. Approx. Theory, 2021)

Hermite multiwavelets for manifold-valued data. - Mariantonia Cotronei; Caroline Moosmüller; Tomas Sauer; Nada Sissouno (Adv. Comput. Math., 2023)

Linearized Wasserstein dimensionality reduction with approximation guarantees. - Alexander Cloninger; Keaton Hamm; Varun Khurana; Caroline Moosmüller (CoRR, 2023)

Measure transfer via stochastic slicing and matching. - Shiying Li 002; Caroline Moosmüller (CoRR, 2023)

Approximation properties of slice-matching operators. - Shiying Li 002; Caroline Moosmüller (CoRR, 2023)

Point Cloud Classification via Deep Set Linearized Optimal Transport. - Scott Mahan; Caroline Moosmüller; Alexander Cloninger (CoRR, 2024)

Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging. - Amartya Banerjee; Harlin Lee; Nir Sharon; Caroline Moosmüller (AISTATS, 2025)

Manifold Learning in Wasserstein Space. - Keaton Hamm; Caroline Moosmüller; Bernhard Schmitzer; Matthew Thorpe (SIAM J. Math. Anal., 2025)

Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors. - Amartya Banerjee; Xingyu Xu; Caroline Moosmüller; Harlin Lee (CoRR, 2025)