A metalearning approach for Physics-Informed Neural Networks (PINNs): Application to parameterized PDEs
Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M. Kirby
Topics & Concepts
Parameterized complexityTestbedComputer scienceArtificial neural networkDiscretizationContext (archaeology)Artificial intelligencePartial differential equationMachine learningConvergence (economics)AlgorithmMathematicsEconomicsEconomic growthComputer networkPaleontologyBiologyMathematical analysisModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignNeural Networks and Applications