Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold

Dimitris G. Giovanis, Michael D. Shields

This paper introduces a surrogate modeling scheme based on Grassmannian manifold learning to be used for cost-efficient predictions of high-dimensional stochastic systems. The meth…