116 citations · 294 across the 24 of their papers we have counts for
27 papers
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…
Uncertainty quantification of a multi-component Hall thruster model at varying facility pressures
Thomas A. Marks, Joshua D. Eckels, Gabriel E. Mora +1
Bayesian inference is applied to calibrate and quantify prediction uncertainty in a coupled multi-component Hall thruster model. The model consists of cathode, discharge, and plume…
Thermal Radiation Transport with Tensor Trains
Alex A. Gorodetsky, Patrick D. Mullen, Aditya Deshpande +4
We present a novel tensor network algorithm to solve the time-dependent, gray thermal radiation transport equation. The method invokes a tensor train (TT) decomposition for the spe…
Incremental Hierarchical Tucker Decomposition
Doruk Aksoy, Alex A. Gorodetsky
We present two new algorithms for approximating and updating the hierarchical Tucker decomposition of tensor streams. The first algorithm, Batch Hierarchical Tucker - leaf to root…
Language Model Powered Digital Biology with BRAD
Joshua Pickard, Ram Prakash, Marc Andrew Choi +6
Recent advancements in Large Language Models (LLMs) are transforming biology, computer science, engineering, and every day life. However, integrating the wide array of computationa…
Grouped approximate control variate estimators
Alex A. Gorodetsky, John D. Jakeman, Michael S. Eldred
This paper analyzes the approximate control variate (ACV) approach to multifidelity uncertainty quantification in the case where weighted estimators are combined to form the compon…