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Latent ODEs for Irregularly-Sampled Time Series, , and . (2019)cite arxiv:1907.03907.Neural Ordinary Differential Equations, , , and . (2018)cite arxiv:1806.07366.FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models., , , , and . ICLR, OpenReview.net, (2019)Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization., , , and . CoRR, (2020)Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization., , , and . ICLR, OpenReview.net, (2021)Multisample Flow Matching: Straightening Flows with Minibatch Couplings., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 28100-28127. PMLR, (2023)Variational Schrödinger Diffusion Models., , , , , , and . CoRR, (2024)Bespoke Solvers for Generative Flow Models., , , , , and . ICLR, OpenReview.net, (2024)Flow Matching for Generative Modeling., , , , and . CoRR, (2022)Scalable Gradients for Stochastic Differential Equations., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3870-3882. PMLR, (2020)