Generative AI

VENI, VINDy, VICI: A generative reduced-order modeling framework with uncertainty quantification
Generative models are transforming science and engineering by enabling efficient synthetization and exploration of new scenarios for …
Paolo Conti, Jonas Kneifl, Andrea Manzoni, Attilio Frangi, Jörg Fehr, Steven L. Brunton, J. Nathan Kutz
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VENI, VINDy, VICI: A generative reduced-order modeling framework with uncertainty quantification
VENI, VINDy, VICI
VENI, VINDy, VICI is an interpretable, data-driven framework for building generative reduced-order models with uncertainty quantification, combining variational autoencoders with a probabilistic extension of SINDy.
Jonas Kneifl
Last updated on Apr 14, 2026 7 min read Model Order Reduction, Scientific Machine Learning
VENI, VINDy, VICI