2 papers
cs.LG2024
Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discovery
Pongpisit Thanasutives, Ken-ichi Fukui
Data-driven discovery of partial differential equations (PDEs) has emerged as a promising approach for deriving governing physics when domain knowledge about observed data is limit…
cs.LG2024
On uncertainty-penalized Bayesian information criterion
Pongpisit Thanasutives, Ken-ichi Fukui
The uncertainty-penalized information criterion (UBIC) has been proposed as a new model-selection criterion for data-driven partial differential equation (PDE) discovery. In this p…