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Machine Learning (cs.LG)
Data-driven identification of latent port-Hamiltonian systems
A data-driven framework for the identification of latent port-Hamiltonian systems
Johannes Rettberg
,
Jonas Kneifl
,
Julius Herb
,
Patrick Buchfink
,
Jörg Fehr
,
Bernard Haasdonk
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DOI
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VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification
The proposed framework discovers probabilistic governing equations from high-dimensional data in a low-dimensional latent space
Paolo Conti
,
Jonas Kneifl
,
Andrea Manzoni
,
Attilio Frangi
,
Jörg Fehr
,
Steven L. Brunton
,
J. Nathan Kutz
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DOI
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arXiv
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