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…
q-bio.QM2025
Multivariate Functional Data Analysis Uncovers Behavioral Fingerprints in Invertebrate Locomotor Response to Micropollutants
George Ruck, Jean-Baptiste Aubin, Alexandre Delétang +3
The need for effective biomonitoring in wastewater has become clear due to the impracticality of continuously tracking all chemicals and emerging contaminants in the aquatic exposo…