Shane A. McQuarrie

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference.
CoRR
Shane A. McQuarrie, Mengwu Guo, Anirban Chaudhuri
2025 J jnl
Interpretable and flexible non-intrusive reduced-order models using reproducing kernel Hilbert spaces.
CoRR
Alejandro N. Diaz, Shane A. McQuarrie, John Tencer, Patrick J. Blonigan
2025 J jnl
Tensor parametric Hamiltonian operator inference.
CoRR
Arjun Vijaywargiya, Shane A. McQuarrie, Anthony Gruber
2024 J jnl
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems.
CoRR
Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo
2023 J jnl
Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference.
SIAM J. Sci. Comput.
Shane A. McQuarrie, Parisa Khodabakhshi, Karen E. Willcox
2022 J jnl
Bayesian operator inference for data-driven reduced-order modeling.
CoRR
Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox
2022 J jnl
Concurrent MultiParameter Learning Demonstrated on the Kuramoto-Sivashinsky Equation.
SIAM J. Sci. Comput.
Benjamin Pachev, Jared P. Whitehead, Shane A. McQuarrie
2021 J jnl
Concurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation.
CoRR
Benjamin Pachev, Jared P. Whitehead, Shane A. McQuarrie
2021 J jnl
Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference.
CoRR
Shane A. McQuarrie, Parisa Khodabakhshi, Karen E. Willcox
2020 J jnl
Data Assimilation in Large Prandtl Rayleigh-Bénard Convection from Thermal Measurements.
SIAM J. Appl. Dyn. Syst.
Aseel Farhat, Nathan E. Glatt-Holtz, Vincent R. Martinez, Shane A. McQuarrie, Jared P. Whitehead
2020 J jnl
Data-driven reduced-order models via regularized operator inference for a single-injector combustion process.
CoRR
Shane A. McQuarrie, Cheng Huang, Karen Willcox