Elizabeth Qian

According to our database, Elizabeth Qian authored at least 17 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks.

Tomoki Koike, Prakash Mohan, Marc T. Henry de Frahan, Elizabeth Qian, Julie Bessac

CoRR, May, 2026

MAGPI: Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data.

Atticus Rex, Elizabeth Qian, David Peterson

CoRR, March, 2026

Streaming Operator Inference for Model Reduction of Large-Scale Dynamical Systems.

Tomoki Koike, Prakash Mohan, Marc T. Henry de Frahan, Julie Bessac, Elizabeth Qian

CoRR, January, 2026

2025

Physics-Informed Machine Learning for Characterizing System Stability.

Tomoki Koike, Elizabeth Qian

CoRR, November, 2025

Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads.

Jakob Scheffels, Elizabeth Qian, Iason Papaioannou, Elisabeth Ullmann

CoRR, October, 2025

An ensemble Kalman approach to randomized maximum likelihood estimation.

Pavlos Stavrinides, Elizabeth Qian

CoRR, July, 2025

Dimension and model reduction approaches for linear Bayesian inverse problems with rank-deficient prior covariances.

Josie König, Elizabeth Qian, Melina A. Freitag

CoRR, June, 2025

The Fundamental Subspaces of Ensemble Kalman Inversion.

Elizabeth Qian, Christopher Beattie

SIAM Rev., 2025

2024

Multifidelity linear regression for scientific machine learning from scarce data.

Elizabeth Qian, Anirban Chaudhuri, Dayoung Kang, Vignesh Sella

CoRR, 2024

Energy-Preserving Reduced Operator Inference for Efficient Design and Control.

Tomoki Koike, Elizabeth Qian

CoRR, 2024

2022

Reduced Operator Inference for Nonlinear Partial Differential Equations.

Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox

SIAM J. Sci. Comput., 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

J. Sci. Comput., 2022

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

2019

Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems.

Elizabeth Qian, Boris Kramer, Benjamin Peherstorfer, Karen Willcox

CoRR, 2019

2018

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

2017

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

2010

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2010