activity
20232026
most citedCovariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Polynomial Chaos-based Input Shaper Design under Time-Varying Uncertainty

Johannes Güttler, Karan Baker, Premjit Saha +2

The work presented here investigates the application of polynomial chaos expansion toward input shaper design in order to maintain robustness in dynamical systems subject to uncert…

stat.ME2025

Bond strength uncertainty quantification via confidence intervals for nondestructive evaluation of bonded composites

Michael C. Stanley, Peter W. Spaeth, James E. Warner +1

As bonded composite materials are used more frequently for aerospace applications, it is necessary to certify that parts achieve desired levels of certain physical characteristics…

math.OC2025

BISTRO -- A Bi-Fidelity Stochastic Gradient Framework using Trust-Regions for Optimization Under Uncertainty

Thomas O. Dixon, Geoffrey F. Bomarito, James E. Warner +1

Stochastic optimization of engineering systems is often infeasible due to repeated evaluations of a computationally expensive, high-fidelity simulation. Bi-fidelity methods mitigat…

cs.LG2025

Latent Generative Modeling of Random Fields from Limited Training Data

James E. Warner, Tristan A. Shah, Patrick E. Leser +3

The ability to accurately model random fields plays a critical role in science and engineering for problems involving uncertain, spatially-varying quantities such as heterogeneous…

cs.CE2025

Generative Modeling of Microweather Wind Velocities for Urban Air Mobility

Tristan A. Shah, Michael C. Stanley, James E. Warner

Motivated by the pursuit of safe, reliable, and weather-tolerant urban air mobility (UAM) solutions, this work proposes a generative modeling approach for characterizing microweath…

stat.CO2023★ 1 cited

Covariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates

Thomas O. Dixon, James E. Warner, Geoffrey F. Bomarito +1

We provide a collection of results on covariance expressions between Monte Carlo based multi-output mean, variance, and Sobol main effect variance estimators from an ensemble of mo…