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Kinematics in the metric space., , and . Comput. Graph., (2019)Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise., , , , , and . CoRR, (2019)End-to-end Learning for Early Classification of Time Series., , , , , and . CoRR, (2019)An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images., , , and . CoRR, (2018)Optimal Transport for structured data with application on graphs., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6275-6284. PMLR, (2019)Time Series Alignment with Global Invariances., , , , , and . Trans. Mach. Learn. Res., (2022)Efficient Gradient Flows in Sliced-Wasserstein Space., , , and . Trans. Mach. Learn. Res., (2022)Spherical Sliced-Wasserstein., , , , , and . ICLR, OpenReview.net, (2023)Unbalanced minibatch Optimal Transport; applications to Domain Adaptation., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3186-3197. PMLR, (2021)Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics., , , , and . CoRR, (2023)