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Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment.

, , , , , and . ECML/PKDD (5), volume 14173 of Lecture Notes in Computer Science, page 341-356. Springer, (2023)

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Inverse Kinematics Using Sequential Monte Carlo Methods., and . AMDO, volume 5098 of Lecture Notes in Computer Science, page 1-10. Springer, (2008)POT: Python Optimal Transport., , , , , , , , , and 12 other author(s). J. Mach. Learn. Res., (2021)Optimal Transport with Adaptive Regularisation., , , and . CoRR, (2023)Unbalanced CO-optimal Transport., , , , , , and . AAAI, page 10006-10016. AAAI Press, (2023)Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport., , , and . IGARSS, page 3643-3646. IEEE, (2018)Simulation of large crowds in emergency situations including gaseous phenomena., and . Computer Graphics International, page 206-212. IEEE Computer Society, (2005)Optimal Transport for structured data with application on graphs., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6275-6284. PMLR, (2019)An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images., , , and . CoRR, (2018)Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise., , , , , and . CoRR, (2019)Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections., , , and . TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 334-370. PMLR, (2023)