Kelvin Lee

Predictive Uncertainty for Neural CAE Surrogates

This work investigates how established uncertainty quantification approaches behave when adapted to geometry-conditioned neural surrogates and examines whether predicted uncertainties have credible magnitudes, identify locations with larger prediction errors, respond to unfamiliar inputs, and remain informative for der...