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A hybrid data-driven-physics-constrained Gaussian process regression framework with deep kernel for uncertainty quantification

Cheng Chang, Tieyong Zeng

2023Journal of Computational Physics22 citationsDOI

Topics & Concepts

Gaussian processKrigingUncertainty quantificationBoltzmann machineKernel (algebra)CovarianceArtificial intelligenceArtificial neural networkGaussianComputer scienceMachine learningApplied mathematicsAlgorithmMathematical optimizationMathematicsPhysicsStatisticsQuantum mechanicsCombinatoricsModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignGaussian Processes and Bayesian Inference
A hybrid data-driven-physics-constrained Gaussian process regression framework with deep kernel for uncertainty quantification | Litcius