Autonomous battery swapping system for small-scale helicopters. - Kart A. Swieringa; Clarence B. Hanson; Johnhenri R. Richardson; Jonathan D. White; Zahid Hasan; Elizabeth Qian; Anouck R. Girard (ICRA, 2010)

A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization. - Elizabeth Qian; Martin A. Grepl; Karen Veroy; Karen Willcox (SIAM J. Sci. Comput., 2017)

Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices. - Elizabeth Qian; Benjamin Peherstorfer; Daniel O'Malley; Velimir V. Vesselinov; Karen Willcox (SIAM/ASA J. Uncertain. Quantification, 2018)

Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems. - Elizabeth Qian; Boris Kramer; Benjamin Peherstorfer; Karen Willcox (CoRR, 2019)

The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks. - Maarten V. de Hoop; Daniel Zhengyu Huang; Elizabeth Qian; Andrew M. Stuart (CoRR, 2022)

Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. - Elizabeth Qian; Jemima M. Tabeart; Christopher Beattie; Serkan Gugercin; Jiahua Jiang; Peter R. Kramer; Akil Narayan 001 (J. Sci. Comput., 2022)

Reduced Operator Inference for Nonlinear Partial Differential Equations. - Elizabeth Qian; Ionut-Gabriel Farcas; Karen Willcox (SIAM J. Sci. Comput., 2022)

Energy-Preserving Reduced Operator Inference for Efficient Design and Control. - Tomoki Koike; Elizabeth Qian (CoRR, 2024)

Multifidelity linear regression for scientific machine learning from scarce data. - Elizabeth Qian; Anirban Chaudhuri; Dayoung Kang; Vignesh Sella (CoRR, 2024)

The Fundamental Subspaces of Ensemble Kalman Inversion. - Elizabeth Qian; Christopher Beattie (CoRR, 2024)

Dimension and model reduction approaches for linear Bayesian inverse problems with rank-deficient prior covariances. - Josie König; Elizabeth Qian; Melina A. Freitag (CoRR, 2025)

An ensemble Kalman approach to randomized maximum likelihood estimation. - Pavlos Stavrinides; Elizabeth Qian (CoRR, 2025)