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Topologically Regularized Data Embeddings., , , , and . CoRR, (2023)Graph Approximations to Geodesics on Metric Graphs., , and . ICPR, page 7328-7334. IEEE, (2020)Topologically Regularized Data Embeddings., , , , and . CoRR, (2021)Topologically Regularized Data Embeddings., , , , and . ICLR, OpenReview.net, (2022)Stable topological signatures for metric trees through graph approximations., , , and . Pattern Recognit. Lett., (2021)Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction., , , , and . Patterns, 4 (1): 100657 (January 2023)The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?, , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 2158-2172. PMLR, (2022)Mining Topological Structure in Graphs through Forest Representations., , and . J. Mach. Learn. Res., (2020)Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies., , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 19-36. Springer, (2018)The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data., , , and . CoRR, (2021)