Surrogate modeling for Bayesian inverse problems based on physics-informed neural networks
Yongchao Li, Yanyan Wang, Liang Yan
Topics & Concepts
Markov chain Monte CarloComputer scienceSurrogate modelBayesian probabilitySampling (signal processing)Machine learningArtificial neural networkInverse problemArtificial intelligenceMonte Carlo methodComponent (thermodynamics)AlgorithmImportance samplingMathematical optimizationMathematicsStatisticsComputer visionMathematical analysisThermodynamicsFilter (signal processing)PhysicsModel Reduction and Neural NetworksGaussian Processes and Bayesian InferenceProbabilistic and Robust Engineering Design