FOS: Computer and information sciences

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
Cite DOI Code arXiv
VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification