activity
20212025
most citedUncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons

449 citations · 595 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.AI2023

PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification

Qianli Shen, Wai Hoh Tang, Zhun Deng +2

Standard approaches for uncertainty quantification in deep learning and physics-informed learning have persistent limitations. Indicatively, strong assumptions regarding the data l…