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Frank Shih

2 accepted papers

2025

Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference

NeurIPS 2025poster

Uncertainty quantification (UQ) in scientific machine learning is increasingly critical as neural networks are widely adopted to tackle complex problems across diverse scientific disciplines. For physics-informed neural networks (PINNs), a prominent model in scientific machine learning, uncertain…

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