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ResearchFormerly WizWand

Symbolic Regression on Feynman benchmark

1Median Final Training LossGlorot
0.64043.06775.4957.9223Sep 3, 2025
Updated 7mo ago

Evaluation results

MethodLinks
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.50.262025.0913.47
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.18.4, alpha=0.25, beta=1.752025.091.041
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.29.162025.091.051.14
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.35.182025.091.11.38
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.12.11, alpha=0.25, beta=1.752025.091.121.07
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.50.26, alpha=0.25, beta=1.752025.091.171.2
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.2, alpha=0.25, beta=1.752025.091.184.14
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.16.6, alpha=0.25, beta=1.752025.091.192.92
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.29.162025.091.221.24
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.27.62025.091.241
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.12.112025.091.33.75
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.40.12025.091.34.76
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.18.42025.091.391
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.12.112025.091.43.67
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.26.22025.091.41.19
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.50.262025.091.44.07
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.10.192025.091.43.14
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.272025.091.51.21
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.10.192025.091.52.9
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.2.422025.091.524.46
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.40.1, alpha=0.25, beta=1.752025.091.741.81
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.13.12, alpha=0.25, beta=1.752025.091.752.36
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.27.6, alpha=0.25, beta=1.752025.091.771
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.6.15a2025.091.81.16
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.35.18, alpha=0.25, beta=1.752025.091.841.48
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.27.62025.091.871
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.2b, alpha=0.25, beta=1.752025.091.974.37
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.13.122025.092.241.86
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.18.42025.092.311
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.2.422025.092.57.74
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.17.372025.092.61.05
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.16.62025.092.623.55
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.72025.092.71.03
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.36.38, alpha=0.25, beta=1.752025.092.713.43
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.16.62025.092.943.63
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.35.182025.0937.61
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.29.16, alpha=0.25, beta=1.752025.093.146.83
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.36.382025.093.51.17
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.13.122025.093.517.65
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.2b2025.093.584.28
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.7, alpha=0.25, beta=1.752025.093.584.08
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.40.12025.093.98.11
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.30.32025.0944.62
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.272025.0946.2
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.17.37, alpha=0.25, beta=1.752025.094.354.37
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.30.3, alpha=0.25, beta=1.752025.094.881.73
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.6.15a, alpha=0.25, beta=1.752025.094.971.89
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.26.22025.0957.21
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.22025.095.174.05
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.17.372025.095.31.41
BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.6.15a2025.0967.35
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.72025.096.11.44
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.36.382025.096.51.57
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.27, alpha=0.25, beta=1.752025.097.172.72
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.10.19, alpha=0.25, beta=1.752025.098.262.24
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.2.42, alpha=0.25, beta=1.752025.098.491.44
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.2b2025.098.695.01
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.30.32025.0996.84
GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.22025.099.864.22
Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.26.2, alpha=0.25, beta=1.752025.099.993.13