surrogate-modeling

Surrogate Models for Uncertainty Propagation and Sensitivity Analysis

For computationally intensive tasks such as design optimization, global sensitivity analysis, or parameter estimation, a model of interest needs to be evaluated multiple times exploring potential parameter ranges or design conditions. If a single …

Weighted Iterative Bayesian Compressive Sensing (WIBCS) for High Dimensional Polynomial Surrogate Construction

Poster

Parametric Uncertainty Quantification and Dimensionality Reduction for ALM at FLUXNET sites

Poster

Quantifying the Impacts of Parametric Uncertainty on Biogeochemistry in the ACME Land Model

Talk

Quantifying the Impacts of Parametric Uncertainty on Biogeochemistry in the ACME Land Model

Talk

Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing

Talk

Parametric Uncertainty Analysis for ACME Land Model

Talk

Parametric Uncertainty Quantification Workflow for ALM

Poster

Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models

We present a methodology to assess the predictive fidelity of multiscale simulations by incorporating uncertainty in the information exchanged between the components of an atomistic-to-continuum simulation. We account for both the uncertainty due to …

High-Dimensional Sparse Surrogate Construction via Bayesian Compressive Sensing

Talk