2 papers
stat.ME2026
Model Error Embedding with Orthogonal Gaussian Processes
Mridula Kuppa, Khachik Sargsyan, Marco Panesi +1
Computational models of complex physical systems often rely on simplifying assumptions which inevitably introduce model error, with consequent predictive errors. Given data on mode…
cs.LG2024
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators
Yiming Fan, Habib Najm, Yue Yu +2
Nonlocal, integral operators have become an efficient surrogate for bottom-up homogenization, due to their ability to represent long-range dependence and multiscale effects. Howeve…