2 citations · 4 across the 3 of their papers we have counts for
3 papers
Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes
Kyle Hayes, Michael W. Fouts, Ali Baheri +1
A promising approach for scalable Gaussian processes (GPs) is the Karhunen-Loève (KL) decomposition, in which the GP kernel is represented by a set of basis functions which are the…
Exploring DFT parameter space with a Bayesian calibration assisted by Markov chain Monte Carlo sampling
Pedram Tavadze, Reese Boucher, Guillermo Avendaño-Franco +7
Density-functional theory is widely used to predict the physical properties of materials. However, it usually fails for strongly correlated materials. A popular solution is to use…
Upscaling Uncertainty with Dynamic Discrepancy for a Multi-scale Carbon Capture System
K. Sham Bhat, David S. Mebane, Curtis B. Storlie +1
Uncertainties from model parameters and model discrepancy from small-scale models impact the accuracy and reliability of predictions of large-scale systems. Inadequate representati…