research
∙
05/02/2023
Advancing inverse scattering with surrogate modeling and Bayesian inference for functional inputs
Inverse scattering aims to infer information about a hidden object by us...
share
research
∙
10/04/2022
Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees
This paper proposes an integration of surrogate modeling and topology to...
research
∙
01/05/2022
Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems
Surrogate modeling based on Gaussian processes (GPs) has received increa...
research
∙
09/26/2020
Efficient calibration for imperfect epidemic models with applications to the analysis of COVID-19
The estimation of unknown parameters in simulations, also known as calib...
research
∙
06/09/2020
CLAIMED: A CLAssification-Incorporated Minimum Energy Design to explore a multivariate response surface with feasibility constraints
Motivated by the problem of optimization of force-field systems in physi...
research
∙
06/05/2018