Operator Learning on Darcy interface problem nf=141, nc=43 (test)
0.0084Relative Error (x10^-2)Fourier Transformer
Evaluation Results
| Method | Links | |
|---|---|---|
| Fourier TransformerNormalization scheme=regular Layer Normalization2021.05 | 0.0084 | |
| Galerkin TransformerNormalization scheme=Galerkin projection-type Layer Normalization on K, V2021.05 | 0.0084 | |
| Fourier TransformerNormalization scheme=Galerkin projection-type Layer Normalization on Q, K2021.05 | 0.0087 | |
| Linear Transformer (LT)Normalization scheme=Galerkin projection-type Layer Normalization on K, V2021.05 | 0.0088 | |
| Galerkin TransformerNormalization scheme=regular Layer Normalization2021.05 | 0.0089 | |
| Softmax Transformer (ST)Normalization scheme=Galerkin projection-type Layer Normalization on Q, K2021.05 | 0.0095 | |
| Linear Transformer (LT)Normalization scheme=regular Layer Normalization2021.05 | 0.0102 | |
| Softmax Transformer (ST)Normalization scheme=regular Layer Normalization2021.05 | 0.0108 | |
| FNO2dTraining scheduler=original step scheduler (500 epochs)2021.05 | 0.0109 | |
| FNO2dTraining scheduler=1cycle (100 epochs)2021.05 | 0.0142 |