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Efficient Bayesian Physics Informed Neural Networks for inverse problems via Ensemble Kalman Inversion

Andrew Pensoneault, Andrew Pensoneault, Xueyu Zhu

2024Journal of Computational Physics27 citationsDOI

Topics & Concepts

Inversion (geology)Bayesian probabilityKalman filterInverse problemArtificial neural networkEnsemble Kalman filterStatistical physicsInverseComputer scienceApplied mathematicsMathematicsArtificial intelligenceAlgorithmMachine learningCalculus (dental)PhysicsExtended Kalman filterGeologyMathematical analysisMedicinePaleontologyGeometryStructural basinDentistryGaussian Processes and Bayesian InferenceReservoir Engineering and Simulation MethodsModel Reduction and Neural Networks
Efficient Bayesian Physics Informed Neural Networks for inverse problems via Ensemble Kalman Inversion | Litcius