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stat.ML2025
Gaussian process surrogate with physical law-corrected prior for multi-coupled PDEs defined on irregular geometry
Pucheng Tang, Hongqiao Wang, Wenzhou Lin +2
Parametric partial differential equations (PDEs) serve as fundamental mathematical tools for modeling complex physical phenomena, yet repeated high-fidelity numerical simulations a…
stat.ML2025
Accelerated Bayesian Optimal Experimental Design via Conditional Density Estimation and Informative Data
Miao Huang, Hongqiao Wang, Kunyu Wu
The Design of Experiments (DOEs) is a fundamental scientific methodology that provides researchers with systematic principles and techniques to enhance the validity, reliability, a…