Showing cs.CEShow all
2 papers · 1 filter
cs.CE2026
An adjoint method for training data-driven reduced-order models
Donglin Liu, Francisco GarcÃa Atienza, Mengwu Guo
Reduced-order modeling lies at the interface of numerical analysis and data-driven scientific computing, providing principled ways to compress high-fidelity simulations in science…
cs.CE2025
Physics-based deep kernel learning for parameter estimation in high dimensional PDEs
Weihao Yan, Christoph Brune, Mengwu Guo
Inferring parameters of high-dimensional partial differential equations (PDEs) poses significant computational and inferential challenges, primarily due to the curse of dimensional…