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ResearchFormerly WizWand

PDE Identification on Burgers PDE

100F1 ScoreWF-LASSO
30.11248.25666.484.544May 12, 2026
Updated 5mo ago

Evaluation results

MethodLinks
WF-LASSONoise=0%, Mode=S2026.05100——
EqODNoise=0%, Mode=S2026.0510006
EqODNoise=5%, Mode=S2026.051000.0566
EqODNoise=10%, Mode=S2026.051000.36
EqODNoise=0%, Seeds=102026.05100——
EqODNoise=5%, Seeds=102026.05100——
EqODNoise=10%, Seeds=102026.05100——
EqODNoise=0%, Seeds=102026.05100——
EqODNoise=5%, Seeds=102026.05100——
EqODNoise=10%, Seeds=102026.05100——
WF-LASSONoise=0%, Mode=S2026.05100——
EqODNoise=0%, Mode=S2026.05100——
EqODNoise=5%, Mode=S2026.05100——
EqODNoise=10%, Mode=S2026.05100——
WF-LASSONoise=5%, Mode=S2026.0594.4——
WF-LASSONoise=5%, Mode=S2026.0594.4——
EqODNoise=20%, Mode=S2026.05920.326
EqODNoise=20%, Seeds=102026.0592——
EqODNoise=20%, Seeds=102026.0592——
EqODNoise=20%, Mode=S2026.0592——
WSINDyNoise=10%, Seeds=102026.0576——
WSINDyNoise=20%, Seeds=102026.0573.3——
WF-LASSONoise=10%, Mode=S2026.0570——
WSINDyNoise=0%, Seeds=102026.0570——
WF-LASSONoise=10%, Mode=S2026.0570——
WSINDyNoise=5%, Seeds=102026.0568——
PySINDy 2.0.0Noise=0%, Optimizer=STLSQ, Threshold Selection=best, Seeds=102026.0566.7——
WF-LASSONoise=20%, Mode=S2026.0560——
WF-LASSONoise=20%, Mode=S2026.0560——
PySINDy 2.0.0Noise=5%, Optimizer=STLSQ, Threshold Selection=best, Seeds=102026.0553.7——
PySINDy 2.0.0Noise=10%, Optimizer=STLSQ, Threshold Selection=best, Seeds=102026.0533.1——
PySINDy 2.0.0Noise=20%, Optimizer=STLSQ, Threshold Selection=best, Seeds=102026.0532.8——