Rudy Geelen

According to our database, Rudy Geelen authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

Fast Quadratic Manifold Learning For Nonlinear Dimensionality Reduction in Large-scale Systems using Riemannian Optimization.

Gavin Paxton, Seunghee Cheon, Rudy Geelen, Shane A. McQuarrie

CoRR, May, 2026

A Dynamic Subspace Approach for Low-rank Approximation of Large-scale Nonlinear Systems.

Jack DeChant, Rudy Geelen, Shane A. McQuarrie, Johann Guilleminot

CoRR, May, 2026

Efficient data-driven regression for reduced-order modeling of spatial pattern formation.

Alessandro Alla, Rudy Geelen, Hannah Lu

J. Comput. Phys., 2026

2024

Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach.

Jin Yi Yong, Rudy Geelen, Johann Guilleminot

CoRR, 2024

2023

Learning physics-based reduced-order models from data using nonlinear manifolds.

Rudy Geelen, Laura Balzano, Stephen Wright, Karen Willcox

CoRR, 2023

Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds.

Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer

CoRR, 2023

Learning Latent Representations in High-Dimensional State Spaces Using Polynomial Manifold Constructions.

Rudy Geelen, Laura Balzano, Karen Willcox

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Operator inference for non-intrusive model reduction with nonlinear manifolds.

Rudy Geelen, Stephen Wright, Karen Willcox

CoRR, 2022