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Learning smooth dynamics via Kinematic Interpolants

arXiv:2610.22519v1 Announce Type: new Abstract: Inferring dynamics from real-world experimental data is inherently ambiguous, as many plausible dynamical systems can explain the same positional observations at measurement times. For higher fidelity modeling of applications ranging from single-cell…

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  1. 2026-10-19 04:00 · arXiv cs.LG
    Learning smooth dynamics via Kinematic Interpolants

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