2 papers
stat.ML2026
Gradient-based Active Learning with Gaussian Processes for Global Sensitivity Analysis
Guerlain Lambert, Céline Helbert, Claire Lauvernet
Global sensitivity analysis of complex numerical simulators is often limited by the small number of model evaluations that can be afforded. In such settings, surrogate models built…
stat.ME2024
Quantization-based LHS for dependent inputs : application to sensitivity analysis of environmental models
Guerlain Lambert, Céline Helbert, Claire Lauvernet
Numerical modeling is essential for comprehending intricate physical phenomena in different domains. To handle complexity, sensitivity analysis, particularly screening, is crucial…