Bayesian uncertainty quantification for machine-learned models in physics
Yarin Gal, Petros Koumoutsakos, François Lanusse, Gilles Louppe, Costas Papadimitriou
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