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News/CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts
arxiv
PublishedJuly 16, 2026 at 4:00 AM

CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts

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arXiv:2607.06824v2 Announce Type: replace-cross Abstract: Physics-informed learning promises data-efficient and stable dynamics prediction, yet its strongest geometric guarantees have largely remained confined to closed conservative systems. This excludes robotic systems of interest, where actuation

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