3 papers
stat.ML2025
CRPS-Based Targeted Sequential Design with Application in Chemical Space
Lea Friedli, Athénaïs Gautier, Anna Broccard +1
Sequential design of real and computer experiments via Gaussian Process (GP) models has proven useful for parsimonious, goal-oriented data acquisition purposes. In this work, we fo…
cs.LG2025
On the Usage of Gaussian Process for Efficient Data Valuation
Clément Bénesse, Patrick Mesana, Athénaïs Gautier +1
In machine learning, knowing the impact of a given datum on model training is a fundamental task referred to as Data Valuation. Building on previous works from the literature, we h…
math.ST2025
Continuous logistic Gaussian random measure fields for spatial distributional modelling
Athénaïs Gautier, David Ginsbourger
We study Spatial Logistic Gaussian Process (SLGP) models for non-parametric estimation of probability density fields using scattered samples of heterogeneous sizes. SLGPs are exami…