B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data
Liu Yang, Xuhui Meng, George Em Karniadakis
Topics & Concepts
Bayesian probabilityInverse problemArtificial neural networkInverseApplied mathematicsStatistical physicsComputer scienceMathematicsAlgorithmCalculus (dental)Artificial intelligencePhysicsMathematical analysisMedicineGeometryDentistryModel Reduction and Neural NetworksGaussian Processes and Bayesian InferenceNuclear reactor physics and engineering