Airfoil
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | Airfoil UCIrvine | 1-RAE0.2201 | 24 | |
| PDE Solving | Airfoil Structured Mesh (test) | Relative L2 Error0.0042 | 23 | |
| Regression | airfoil | NCIW0.173 | 22 | |
| Forward PDE solving | Airfoil | Relative L20.46 | 21 | |
| Regression | Airfoil | MSE0.2528 | 18 | |
| Regression | Airfoil UCIrvine (5-fold cross-validation) | 1-RAE0.2201 | 16 | |
| Operator Learning | Airfoil (Structured Mesh) (test) | Relative L2 Error0.0051 | 15 | |
| Regression | Airfoil | RMSE2.717 | 14 | |
| Regression | airfoil | Interval Score Loss7.761 | 11 | |
| Regression | airfoil | Quantile Loss0.097 | 11 | |
| Regression | airfoil | PICP98 | 11 | |
| Regression | Airfoil TabArena v0.1 (test) | RMSE1.029 | 10 | |
| Regression | Airfoil | Normalized AUC of RMSE1.02 | 9 | |
| Regression | airfoil (1503) (test outliers) | Mean Outlier Coverage91 | 7 | |
| Regression | airfoil | SMIS9.95 | 7 | |
| Regression | airfoil n=1503 (test) | ILR1.23 | 7 | |
| Regression | Airfoil 5-fold CV | RMSE1.54 | 7 | |
| Regression | Airfoil (3 train-test splits) | LPPD-0.176 | 7 | |
| Mach number field prediction | Airfoil NACA-0012 (test) | Error (%)59.6 | 7 | |
| Mach number field prediction | Airfoil NACA-0012 (train) | Error (%)32.9 | 7 | |
| Selective Regression | airfoil (test) | Conditional Large-Loss Rate22.2 | 6 | |
| PDE Dynamics Forecasting | Airfoil irregular spatial domains OOD OFormer (test) | nMSE0.0414 | 6 | |
| Regression | Airfoil (test) | NLL0.0837 | 6 | |
| Faithfulness under retraining | Airfoil | AURC1.749 | 5 | |
| Instance attribution explanation | Airfoil (test) | Wall-clock Time (s)0.05 | 4 |
Showing 25 of 30 rows