2 papers
stat.ML2026
Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models
Gregory Beurier, Robin Reiter, Camille Noûs +2
Preprocessing screening is often the most expensive part of a near-infrared spectroscopy calibration workflow. It works because smoothing, derivatives, detrending and related filte…
cs.LG2026
Tabular foundation models for robust calibration of near-infrared chemical sensing data
Robin Reiter, Denis Cornet, Fabien Michel +2
Near-infrared spectroscopy is increasingly used as a rapid, non-destructive chemical sensing technology for the analysis of food, pharmaceutical, biological, and environmental samp…