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Using a Riemannian Elastic Metric for Statistical Analysis of Tumor Cell Shape Heterogeneity., , , and . GSI (2), volume 14072 of Lecture Notes in Computer Science, page 583-592. Springer, (2021)The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks., , , , and . CoRR, (2024)Identifying Interpretable Visual Features in Artificial and Biological Neural Systems., , , , and . CoRR, (2023)On Accuracy and Speed of Geodesic Regression: Do Geometric Priors Improve Learning on Small Datasets?, and . CVPR Workshops, page 2714-2722. IEEE, (2024)Bounds on the geodesic distances on the Stiefel manifold for a family of Riemannian metrics., , and . CoRR, (2024)Preface., , , , and . NeurReps, volume 197 of Proceedings of Machine Learning Research, page i-vi. PMLR, (2022)A B., url=http://dblp.uni-trier.de/db/conf/nips/ml4h2020.html#DonnatMBK20, pages=53-84, booktitle=ML4H@NeurIPS, crossref=conf/nips/2020ml4h, date = 2022-03-25,keywords = dblp, , , and . (2020)Position: Topological Deep Learning is the New Frontier for Relational Learning., , , , , , , , , and 12 other author(s). ICML, OpenReview.net, (2024)Learning from landmarks, curves, surfaces, and shapes in Geomstats., , , , , , , , , and . CoRR, (2024)A General Framework for Robust G-Invariance in G-Equivariant Networks., and . CoRR, (2023)