Symbolic Regression on Feynman benchmark
1Median Final Training LossGlorot
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.50.262025.09 | 1 | 3.47 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.18.4, alpha=0.25, beta=1.752025.09 | 1.04 | 1 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.29.162025.09 | 1.05 | 1.14 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.35.182025.09 | 1.1 | 1.38 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.12.11, alpha=0.25, beta=1.752025.09 | 1.12 | 1.07 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.50.26, alpha=0.25, beta=1.752025.09 | 1.17 | 1.2 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.2, alpha=0.25, beta=1.752025.09 | 1.18 | 4.14 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.16.6, alpha=0.25, beta=1.752025.09 | 1.19 | 2.92 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.29.162025.09 | 1.22 | 1.24 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.27.62025.09 | 1.24 | 1 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.12.112025.09 | 1.3 | 3.75 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.40.12025.09 | 1.3 | 4.76 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.18.42025.09 | 1.39 | 1 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.12.112025.09 | 1.4 | 3.67 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.26.22025.09 | 1.4 | 1.19 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.50.262025.09 | 1.4 | 4.07 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.10.192025.09 | 1.4 | 3.14 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.272025.09 | 1.5 | 1.21 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.10.192025.09 | 1.5 | 2.9 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.2.422025.09 | 1.52 | 4.46 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.40.1, alpha=0.25, beta=1.752025.09 | 1.74 | 1.81 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.13.12, alpha=0.25, beta=1.752025.09 | 1.75 | 2.36 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.27.6, alpha=0.25, beta=1.752025.09 | 1.77 | 1 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.6.15a2025.09 | 1.8 | 1.16 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.35.18, alpha=0.25, beta=1.752025.09 | 1.84 | 1.48 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.27.62025.09 | 1.87 | 1 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.2b, alpha=0.25, beta=1.752025.09 | 1.97 | 4.37 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.13.122025.09 | 2.24 | 1.86 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.18.42025.09 | 2.31 | 1 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.2.422025.09 | 2.5 | 7.74 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.17.372025.09 | 2.6 | 1.05 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.16.62025.09 | 2.62 | 3.55 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.72025.09 | 2.7 | 1.03 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.36.38, alpha=0.25, beta=1.752025.09 | 2.71 | 3.43 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.16.62025.09 | 2.94 | 3.63 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.35.182025.09 | 3 | 7.61 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.29.16, alpha=0.25, beta=1.752025.09 | 3.14 | 6.83 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.36.382025.09 | 3.5 | 1.17 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.13.122025.09 | 3.51 | 7.65 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.2b2025.09 | 3.58 | 4.28 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.7, alpha=0.25, beta=1.752025.09 | 3.58 | 4.08 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.40.12025.09 | 3.9 | 8.11 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.30.32025.09 | 4 | 4.62 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.272025.09 | 4 | 6.2 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.17.37, alpha=0.25, beta=1.752025.09 | 4.35 | 4.37 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.30.3, alpha=0.25, beta=1.752025.09 | 4.88 | 1.73 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.6.15a, alpha=0.25, beta=1.752025.09 | 4.97 | 1.89 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.26.22025.09 | 5 | 7.21 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.22025.09 | 5.17 | 4.05 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.17.372025.09 | 5.3 | 1.41 | |
| BaselineArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.6.15a2025.09 | 6 | 7.35 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.72025.09 | 6.1 | 1.44 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.36.382025.09 | 6.5 | 1.57 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.11.27, alpha=0.25, beta=1.752025.09 | 7.17 | 2.72 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=III.10.19, alpha=0.25, beta=1.752025.09 | 8.26 | 2.24 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=II.2.42, alpha=0.25, beta=1.752025.09 | 8.49 | 1.44 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.2b2025.09 | 8.69 | 5.01 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.30.32025.09 | 9 | 6.84 | |
| GlorotArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.6.22025.09 | 9.86 | 4.22 | |
| Power-LawArchitecture=small, G=5, Layers=2, Neurons=8, Function=I.26.2, alpha=0.25, beta=1.752025.09 | 9.99 | 3.13 |