surrogate-modeling

High-Dimensional Surrogate Models and Global Sensitivity Analysis

Poster

Enhancing l1-Minimization Estimates of Polynomial Chaos Expansions using Basis Selection

In this paper we present a basis selection method that can be used with l1-minimization to adaptively determine the large coefficients of polynomial chaos expansions (PCE). The adaptive construction produces anisotropic basis sets that have more …

High-Dimensional Sparse Surrogate Construction via Bayesian Compressive Sensing

Talk

Fast Evaluation of Many-Body Perturbation Integrals

Talk

Bayesian Compressive Sensing Framework for High-Dimensional Surrogate Construction

Talk

Bayesian Calibration of the Community Land Model using Surrogates

We present results from the Bayesian calibration of hydrological parameters of the Community Land Model (CLM), which is often used in climate simulations and Earth system models. A statistical inverse problem is formulated for three hydrological …

Parameter Estimation in High-Dimensional Climate Models

Poster

Bayesian Compressive Sensing Framework for High-Dimensional Surrogate Model Construction

Talk

Bayesian Compressive Sensing Framework for Sparse Representations of High-Dimensional Models

Talk

Dimensionality Reduction for Complex Models via Bayesian Compressive Sensing

Uncertainty quantification in complex physical models is often challenged by the computational expense of these models. One often needs to operate under the assumption of sparsely available model simulations. This issue is even more critical when …