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Flow Matching for Generative Modeling., , , , and . ICLR, OpenReview.net, (2023)D-Flow: Differentiating through Flows for Controlled Generation., , , , , and . ICML, OpenReview.net, (2024)Matching Normalizing Flows and Probability Paths on Manifolds., , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 1749-1763. PMLR, (2022)Surface Networks via General Covers., , , , and . ICCV, page 632-641. IEEE, (2019)Frame Averaging for Invariant and Equivariant Network Design., , , , , , and . ICLR, OpenReview.net, (2022)Provably Powerful Graph Networks., , , and . NeurIPS, page 2153-2164. (2019)Invariant and Equivariant Graph Networks., , , and . ICLR (Poster), OpenReview.net, (2019)Multisample Flow Matching: Straightening Flows with Minibatch Couplings., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 28100-28127. PMLR, (2023)Flow Matching for Generative Modeling., , , , and . CoRR, (2022)Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri., , , and . ICIP, page 734-738. IEEE, (2018)