19 citations · 22 across the 3 of their papers we have counts for
3 papers
Learning Complex Physical Regimes via Coverage-oriented Uncertainty Quantification: An application to the Critical Heat Flux
Michele Cazzola, Alberto Ghione, Lucia Sargentini +2
A central challenge in scientific machine learning (ML) is the correct representation of physical systems governed by multi-regime behaviours. In these scenarios, standard data ana…
A generalization of the CIRCE method for quantifying input model uncertainty in presence of several groups of experiments
Guillaume Damblin, François Bachoc, Sandro Gazzo +2
The semi-empirical nature of best-estimate models closing the balance equations of thermal-hydraulic (TH) system codes is well-known as a significant source of uncertainty for accu…
Adaptive use of replicated Latin Hypercube Designs for computing Sobol' sensitivity indices
Guillaume Damblin, Alberto Ghione
As recently pointed out in the field of Global Sensitivity Analysis (GSA) of computer simulations, the use of replicated Latin Hypercube Designs (rLHDs) is a cost-saving alternativ…