State Reconstruction on epo Correlated Gaussian noise (test)
0.392MSEkalman
Evaluation results
| Method | Links | |
|---|---|---|
| kalmanSymbolic Regression=PySR2026.01 | 0.392 | |
| kalmanSymbolic Regression=SINDy2026.01 | 0.392 | |
| MAATSymbolic Regression=PySR2026.01 | 0.514 | |
| savgolSymbolic Regression=PySR2026.01 | 0.517 | |
| savgolSymbolic Regression=SINDy2026.01 | 0.523 | |
| tvregSymbolic Regression=SINDy2026.01 | 0.523 | |
| tvregSymbolic Regression=PySR2026.01 | 0.543 | |
| linearSymbolic Regression=SINDy2026.01 | 0.896 | |
| linearSymbolic Regression=PySR2026.01 | 0.904 | |
| MAATSymbolic Regression=SINDy2026.01 | 1.21 | |
| pinnSymbolic Regression=SINDy2026.01 | 1.25 | |
| RBFSymbolic Regression=SINDy2026.01 | 1.31 | |
| RBFSymbolic Regression=PySR2026.01 | 1.33 | |
| cubicSymbolic Regression=SINDy2026.01 | 1.76 | |
| cubicSymbolic Regression=PySR2026.01 | 1.84 | |
| pinnSymbolic Regression=PySR2026.01 | 2.64 | |
| gpSymbolic Regression=SINDy2026.01 | 5.67 | |
| gpSymbolic Regression=PySR2026.01 | 20.9 | |
| neural odeSymbolic Regression=SINDy2026.01 | 454 | |
| neural odeSymbolic Regression=PySR2026.01 | 1,100,000 |