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Generating Natural Adversarial Remote Sensing Images., , , and . IEEE Trans. Geosci. Remote. Sens., (2022)POT: Python Optimal Transport., , , , , , , , , and 12 other author(s). J. Mach. Learn. Res., (2021)Simulation-free Schrödinger bridges via score and flow matching., , , , , , , and . CoRR, (2023)SE(3)-Stochastic Flow Matching for Protein Backbone Generation., , , , , , , , , and . CoRR, (2023)Wasserstein Adversarial Regularization for Learning With Label Noise., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (10): 7296-7306 (2022)Learning with minibatch Wasserstein : asymptotic and gradient properties., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2131-2141. PMLR, (2020)Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport., , , , , , , and . CoRR, (2023)Simulation-Free Schrödinger Bridges via Score and Flow Matching., , , , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1279-1287. PMLR, (2024)Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise., , , , , and . CoRR, (2019)Unbalanced Optimal Transport meets Sliced-Wasserstein., , , , and . CoRR, (2023)