机译:MANIFOLD LEARNING-BASED POLYNOMIAL CHAOS EXPANSIONS FOR HIGH-DIMENSIONAL SURROGATE MODELS
Johns Hopkins Univ;
Tech Univ Darmstadt||Tech Univ Darmstadt;
Ecole Polytech Fed Lausanne;
surrogate modeling; manifold learning; low-dimensional embedding; large-scale computational systems; Grassmann manifold; uncertainty quantification; advection-diffusion-reaction;