2 papers
stat.ML2024★ 1 cited
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees
Edgar Jaber, Vincent Blot, Nicolas Brunel +6
Gaussian processes (GPs) are a Bayesian machine learning approach widely used to construct surrogate models for the uncertainty quantification of computer simulation codes in indus…
stat.ME2014
A Tracking Approach to Parameter Estimation in Linear Ordinary Differential Equations
Nicolas Brunel, Quentin Clairon
Ordinary Differential Equations are widespread tools to model chemical, physical, biological process but they usually rely on parameters which are of critical importance in terms o…