arXiv stat.ML
· Papers
A Bayesian latent Gaussian process framework for aerodynamic uncertainty quantification
arXiv:2606.28871v1 Announce Type: new Abstract: Predicting the aerodynamic performance (e.g. lift, drag, and moment coefficients) of an aircraft is challenging -- computational models are biased and direct simulations are prohibitive. A pragmatic way to overcome this limitation is by calibrating low-fidelity computatio