3 papers
stat.CO2026
Spline Interpolation on Compact Riemannian Manifolds
Charlie Sire, Mike Pereira, Thomas Romary
Spline interpolation is a widely used class of methods for solving interpolation problems by constructing smooth interpolants that minimize a regularized energy functional involvin…
stat.CO2026
Uncertainty Quantification of Spline Predictors on Compact Riemannian Manifolds
Charlie Sire, Mike Pereira
To predict smooth physical phenomena from observations, spline interpolation provides an interpretable framework by minimizing an energy functional associated with the Laplacian op…
stat.ME2025
Bayesian Calibration for Prediction in a Multi-Output Transposition Context
Charlie Sire, Josselin Garnier, Cédric Durantin +3
Numerical simulations are widely used to predict the behavior of physical systems, with Bayesian approaches being particularly well suited for this purpose. However, experimental o…