State Reconstruction on 12 different tasks Isotropic Gaussian noise
0.0112Geometric Mean State Estimation MSEMAAT
Evaluation Results
| Method | Links | |
|---|---|---|
| MAATDownstream Symbolic Regression=SINDy2026.01 | 0.0112 | |
| MAATDownstream Symbolic Regression=PySR2026.01 | 0.0126 | |
| Gaussian Process (RBF)Downstream Symbolic Regression=PySR2026.01 | 0.0217 | |
| Gaussian Process (RBF)Downstream Symbolic Regression=SINDy2026.01 | 0.0252 | |
| PINNDownstream Symbolic Regression=PySR2026.01 | 0.0259 | |
| PINNDownstream Symbolic Regression=SINDy2026.01 | 0.0331 | |
| Kalman filter / RTSDownstream Symbolic Regression=PySR2026.01 | 0.0803 | |
| Kalman filter / RTSDownstream Symbolic Regression=SINDy2026.01 | 0.0854 | |
| Savitzky–GolayDownstream Symbolic Regression=SINDy2026.01 | 0.148 | |
| TVRegDiffDownstream Symbolic Regression=SINDy2026.01 | 0.148 | |
| TVRegDiffDownstream Symbolic Regression=PySR2026.01 | 0.159 | |
| Savitzky–GolayDownstream Symbolic Regression=PySR2026.01 | 0.16 | |
| Linear interpolationDownstream Symbolic Regression=SINDy2026.01 | 0.584 | |
| Linear interpolationDownstream Symbolic Regression=PySR2026.01 | 0.674 | |
| Neural ODEDownstream Symbolic Regression=SINDy2026.01 | 0.761 | |
| RBF interpolationDownstream Symbolic Regression=SINDy2026.01 | 1.21 | |
| RBF interpolationDownstream Symbolic Regression=PySR2026.01 | 1.39 | |
| Cubic splineDownstream Symbolic Regression=SINDy2026.01 | 1.79 | |
| Cubic splineDownstream Symbolic Regression=PySR2026.01 | 2.18 | |
| Neural ODEDownstream Symbolic Regression=PySR2026.01 | 4.74 |