State Reconstruction on 12 different tasks Student-t heavy-tailed noise
0.0106GM State-Est MSEMAAT
Evaluation Results
| Method | Links | |
|---|---|---|
| MAATDownstream Symbolic Regression=SINDy2026.01 | 0.0106 | |
| MAATDownstream Symbolic Regression=PySR2026.01 | 0.014 | |
| Gaussian Process (RBF)Downstream Symbolic Regression=PySR2026.01 | 0.0175 | |
| Gaussian Process (RBF)Downstream Symbolic Regression=SINDy2026.01 | 0.0241 | |
| PINNDownstream Symbolic Regression=PySR2026.01 | 0.0259 | |
| PINNDownstream Symbolic Regression=SINDy2026.01 | 0.0282 | |
| Kalman filter / RTSDownstream Symbolic Regression=PySR2026.01 | 0.0763 | |
| Kalman filter / RTSDownstream Symbolic Regression=SINDy2026.01 | 0.0809 | |
| TVRegDiffDownstream Symbolic Regression=PySR2026.01 | 0.138 | |
| Savitzky–GolayDownstream Symbolic Regression=SINDy2026.01 | 0.143 | |
| TVRegDiffDownstream Symbolic Regression=SINDy2026.01 | 0.143 | |
| Savitzky–GolayDownstream Symbolic Regression=PySR2026.01 | 0.173 | |
| Linear interpolationDownstream Symbolic Regression=SINDy2026.01 | 0.582 | |
| Linear interpolationDownstream Symbolic Regression=PySR2026.01 | 0.678 | |
| Neural ODEDownstream Symbolic Regression=SINDy2026.01 | 0.733 | |
| RBF interpolationDownstream Symbolic Regression=PySR2026.01 | 1.21 | |
| RBF interpolationDownstream Symbolic Regression=SINDy2026.01 | 1.21 | |
| Cubic splineDownstream Symbolic Regression=SINDy2026.01 | 1.75 | |
| Cubic splineDownstream Symbolic Regression=PySR2026.01 | 1.94 | |
| Neural ODEDownstream Symbolic Regression=PySR2026.01 | 3.97 |