Elizabeth Qian

19 papers A* 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MAGPI: Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data. CoRR Atticus Rex, Elizabeth Qian, David Peterson
2026	J	`jnl`	Streaming Operator Inference for Model Reduction of Large-Scale Dynamical Systems. CoRR Tomoki Koike, Prakash Mohan, Marc T. Henry de Frahan, Julie Bessac, Elizabeth Qian
2025	J	`jnl`	An ensemble Kalman approach to randomized maximum likelihood estimation. CoRR Pavlos Stavrinides, Elizabeth Qian
2025	J	`jnl`	Dimension and model reduction approaches for linear Bayesian inverse problems with rank-deficient prior covariances. CoRR Josie König, Elizabeth Qian, Melina A. Freitag
2025	J	`jnl`	Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads. CoRR Jakob Scheffels, Elizabeth Qian, Iason Papaioannou, Elisabeth Ullmann
2025	J	`jnl`	Physics-Informed Machine Learning for Characterizing System Stability. CoRR Tomoki Koike, Elizabeth Qian
2025	J	`jnl`	The Fundamental Subspaces of Ensemble Kalman Inversion. SIAM Rev. Elizabeth Qian, Christopher Beattie
2024	J	`jnl`	Energy-Preserving Reduced Operator Inference for Efficient Design and Control. CoRR Tomoki Koike, Elizabeth Qian
2024	J	`jnl`	Multifidelity linear regression for scientific machine learning from scarce data. CoRR Elizabeth Qian, Anirban Chaudhuri, Dayoung Kang, Vignesh Sella
2024	J	`jnl`	The Fundamental Subspaces of Ensemble Kalman Inversion. CoRR Elizabeth Qian, Christopher Beattie
2022	J	`jnl`	Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. J. Sci. Comput. Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan
2022	J	`jnl`	Reduced Operator Inference for Nonlinear Partial Differential Equations. SIAM J. Sci. Comput. Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox
2022	J	`jnl`	The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks. CoRR Maarten V. de Hoop, Daniel Zhengyu Huang, Elizabeth Qian, Andrew M. Stuart
2021	J	`jnl`	Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. CoRR Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan
2021	J	`jnl`	Reduced operator inference for nonlinear partial differential equations. CoRR Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox
2019	J	`jnl`	Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems. CoRR Elizabeth Qian, Boris Kramer, Benjamin Peherstorfer, Karen Willcox
2018	J	`jnl`	Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices. SIAM/ASA J. Uncertain. Quantification Elizabeth Qian, Benjamin Peherstorfer, Daniel O'Malley, Velimir V. Vesselinov, Karen Willcox
2017	J	`jnl`	A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization. SIAM J. Sci. Comput. Elizabeth Qian, Martin A. Grepl, Karen Veroy, Karen Willcox
2010	A*	`conf`	Autonomous battery swapping system for small-scale helicopters. ICRA Kart A. Swieringa, Clarence B. Hanson, Johnhenri R. Richardson, Jonathan D. White, Zahid Hasan, Elizabeth Qian, Anouck R. Girard