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The Wasserstein Transform.

, , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4496-4504. PMLR, (2019)

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The Wasserstein Transform., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4496-4504. PMLR, (2019)Distances for Markov Chains, and Their Differentiation., , and . ALT, volume 237 of Proceedings of Machine Learning Research, page 282-336. PMLR, (2024)The Wasserstein transform., , and . CoRR, (2018)Distances for Markov Chains, and Their Differentiation., , and . CoRR, (2023)The Numerical Stability of Hyperbolic Representation Learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 24925-24949. PMLR, (2023)A Generalization of the Persistent Laplacian to Simplicial Maps., , , and . SoCG, volume 258 of LIPIcs, page 37:1-37:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Understanding Oversquashing in GNNs through the Lens of Effective Resistance., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 2528-2547. PMLR, (2023)The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 7249-7263. PMLR, (2023)Persistent Laplacians: properties, algorithms and implications., , and . CoRR, (2020)All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs., , and . CoRR, (2024)