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ResearchFormerly WizWand

State Reconstruction on 12 different tasks Student-t heavy-tailed noise

0.0106GM State-Est MSEMAAT
-0.1477760.9212621.99033.059338Jan 29, 2026
Updated 8mo ago

Evaluation results

MethodLinks
MAATDownstream Symbolic Regression=SINDy2026.010.0106
MAATDownstream Symbolic Regression=PySR2026.010.014
Gaussian Process (RBF)Downstream Symbolic Regression=PySR2026.010.0175
Gaussian Process (RBF)Downstream Symbolic Regression=SINDy2026.010.0241
PINNDownstream Symbolic Regression=PySR2026.010.0259
PINNDownstream Symbolic Regression=SINDy2026.010.0282
Kalman filter / RTSDownstream Symbolic Regression=PySR2026.010.0763
Kalman filter / RTSDownstream Symbolic Regression=SINDy2026.010.0809
TVRegDiffDownstream Symbolic Regression=PySR2026.010.138
Savitzky–GolayDownstream Symbolic Regression=SINDy2026.010.143
TVRegDiffDownstream Symbolic Regression=SINDy2026.010.143
Savitzky–GolayDownstream Symbolic Regression=PySR2026.010.173
Linear interpolationDownstream Symbolic Regression=SINDy2026.010.582
Linear interpolationDownstream Symbolic Regression=PySR2026.010.678
Neural ODEDownstream Symbolic Regression=SINDy2026.010.733
RBF interpolationDownstream Symbolic Regression=PySR2026.011.21
RBF interpolationDownstream Symbolic Regression=SINDy2026.011.21
Cubic splineDownstream Symbolic Regression=SINDy2026.011.75
Cubic splineDownstream Symbolic Regression=PySR2026.011.94
Neural ODEDownstream Symbolic Regression=PySR2026.013.97