21 citations · 32 across the 4 of their papers we have counts for
5 papers
Autocalibration of the E3SM version 2 atmosphere model using a PCA-based surrogate for spatial fields
Drew Yarger, Benjamin Wagman, Lyndsay Shand +1
Global Climate Model (GCM) tuning (calibration) is a tedious and time-consuming process, with high-dimensional input and output fields. Experts typically tune by iteratively runnin…
Calibrating hypersonic turbulence flow models with the HIFiRE-1 experiment using data-driven machine-learned models
Kenny Chowdhary, Chi Hoang, Kookjin Lee +1
In this paper we study the efficacy of combining machine-learning methods with projection-based model reduction techniques for creating data-driven surrogate models of computationa…
Projection-based model reduction of dynamical systems using space-time subspace and machine learning
Chi Hoang, Kenny Chowdhary, Kookjin Lee +1
This paper considers the creation of parametric surrogate models for applications in science and engineering where the goal is to predict high-dimensional spatiotemporal output qua…
Multimodal Bayesian Registration of Noisy Functions using Hamiltonian Monte Carlo
J. Derek Tucker, Lyndsay Shand, Kenny Chowdhary
Functional data registration is a necessary processing step for many applications. The observed data can be inherently noisy, often due to measurement error or natural process unce…
Robust bounds on risk-sensitive functionals via Renyi divergence
Rami Atar, Kamaljit Chowdhary, Paul Dupuis
We extend the duality between exponential integrals and relative entropy to a variational formula for exponential integrals involving the Renyi divergence. This formula characteriz…