Litcius/Paper detail

Parsimony as the ultimate regularizer for physics-informed machine learning

J. Nathan Kutz, Steven L. Brunton

2022Nonlinear Dynamics63 citationsDOI

Topics & Concepts

Leverage (statistics)Artificial intelligenceExtrapolationMachine learningGeneralizationRepresentation (politics)Deep learningParametric statisticsComputer scienceContext (archaeology)Theoretical computer scienceAlgorithmMathematicsBiologyMathematical analysisPolitical scienceLawPaleontologyStatisticsPoliticsModel Reduction and Neural NetworksComputational Physics and Python ApplicationsProbabilistic and Robust Engineering Design
Parsimony as the ultimate regularizer for physics-informed machine learning | Litcius