Parameter Estimation on Kuramoto-Sivashinsky Equation (KSE) (test)
0.0324MAPE (lambda_2)EMBED & EMULATE
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| EMBED & EMULATEHead=Regression head (h_theta)2022.11 | 0.0324 | 0.0156 | 0.037 | 0.0168 | 0.0269 | 0.0145 | |
| Supervised regression2022.11 | 0.0327 | 0.0116 | 0.0334 | 0.0097 | 0.0314 | 0.0136 | |
| EnKI w/ EMBED & EMULATEPrior=Empirical Bayes (pp,empB)2022.11 | 0.0348 | 0.0142 | 0.0329 | 0.015 | 0.033 | 0.0169 | |
| NPE-C2022.11 | 0.043 | 0.0214 | 0.0486 | 0.0259 | 0.033 | 0.0183 | |
| EnKI w/o LearningSolver=Runge-Kutta, Moments=Predefined2022.11 | 0.3473 | 0.2544 | 0.5614 | 0.3827 | 0.6864 | 0.339 |