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Bayesian uncertainty quantification for machine-learned models in physics

Yarin Gal, Petros Koumoutsakos, François Lanusse, Gilles Louppe, Costas Papadimitriou

2022Nature Reviews Physics38 citationsDOIOpen Access PDF

Topics & Concepts

Uncertainty quantificationBayesian probabilityComputer scienceMachine learningBayesian inferenceUncertainty analysisEmphasis (telecommunications)Artificial intelligenceData scienceManagement scienceEngineeringSimulationTelecommunicationsGaussian Processes and Bayesian InferenceModel Reduction and Neural NetworksComputational Physics and Python Applications
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