A principled distance-aware uncertainty quantification approach for enhancing the reliability of physics-informed neural network
Jinwu Li, Xiangyun Long, Xinyang Deng, Wen Jiang, Kai Zhou, Chao Jiang, Xiaoge Zhang
Topics & Concepts
Uncertainty quantificationNormalization (sociology)Computer scienceArtificial neural networkGaussian processGaussianTransformation (genetics)Regularization (linguistics)Artificial intelligenceAlgorithmMachine learningPhysicsQuantum mechanicsGeneBiochemistryAnthropologyChemistrySociologyModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignNuclear reactor physics and engineering