PDE Rollout Prediction on Diff-React PDEBench (test)
1.6nRMSEGITS
Evaluation results
| Method | Links | |
|---|---|---|
| GITSBackbone=Transformer, Sampling ratio=0.102026.03 | 1.6 | |
| GITSBackbone=FNO, Sampling ratio=0.102026.03 | 2.8 | |
| GradMatchBackbone=U-Net, Sampling Ratio=0.202026.03 | 3.2 | |
| coverage-onlyBackbone=U-Net, Sampling Ratio=0.202026.03 | 3.7 | |
| PRISMBackbone=U-Net, Sampling Ratio=0.202026.03 | 3.9 | |
| GLISTERBackbone=U-Net, Sampling Ratio=0.202026.03 | 4.2 | |
| GITSBackbone=U-Net, Sampling ratio=0.102026.03 | 4.5 | |
| GradMatchBackbone=U-Net, Sampling ratio=0.102026.03 | 5.1 | |
| GLISTERBackbone=U-Net, Sampling ratio=0.102026.03 | 5.3 | |
| PRISMBackbone=U-Net, Sampling ratio=0.102026.03 | 5.9 | |
| uniformBackbone=U-Net, Sampling Ratio=0.202026.03 | 6.6 | |
| GITSBackbone=U-Net, Sampling Ratio=0.202026.03 | 6.9 | |
| loss-onlyBackbone=U-Net, Sampling Ratio=0.202026.03 | 7.4 | |
| uniformBackbone=U-Net, Sampling ratio=0.102026.03 | 9 | |
| coverage-onlyBackbone=U-Net, Sampling ratio=0.102026.03 | 9.7 | |
| coverage-onlyBackbone=Transformer, Sampling ratio=0.102026.03 | 10.7 | |
| loss-onlyBackbone=U-Net, Sampling ratio=0.102026.03 | 11.7 | |
| coverage-onlyBackbone=FNO, Sampling ratio=0.102026.03 | 12 | |
| uniformBackbone=U-Net, Sampling ratio=0.102026.03 | 12.5 | |
| GITSBackbone=U-Net, Sampling ratio=0.102026.03 | 15.8 | |
| coverage-onlyBackbone=U-Net, Sampling ratio=0.102026.03 | 16.2 | |
| GITSBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 16.5 | |
| GradMatchBackbone=U-Net, Sampling ratio=0.102026.03 | 16.6 | |
| coverage-onlyBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 18.4 | |
| GITSBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 18.9 | |
| GradMatchBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 19.1 | |
| uniformBackbone=Transformer, Sampling ratio=0.102026.03 | 22.4 | |
| uniformBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 23.9 | |
| GradMatchBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 23.9 | |
| uniformBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 24.2 | |
| uniformBackbone=Transformer, Sampling Ratio=0.202026.03 | 24.4 | |
| coverage-onlyBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 25.7 | |
| PRISMBackbone=Transformer, Sampling ratio=0.102026.03 | 26.8 | |
| GITSBackbone=Transformer, Sampling Ratio=0.202026.03 | 26.9 | |
| coverage-onlyBackbone=Transformer, Sampling Ratio=0.202026.03 | 27.6 | |
| uniformBackbone=FNO, Sampling ratio=0.102026.03 | 28 | |
| GITSBackbone=Transformer, Sampling ratio=0.102026.03 | 28.4 | |
| GradMatchBackbone=FNO, Sampling ratio=0.102026.03 | 28.5 | |
| GLISTERBackbone=FNO, Sampling ratio=0.102026.03 | 28.7 | |
| coverage-onlyBackbone=Transformer, Sampling ratio=0.102026.03 | 28.9 | |
| PRISMBackbone=U-Net, Sampling ratio=0.102026.03 | 29.6 | |
| PRISMBackbone=FNO, Sampling ratio=0.102026.03 | 31.4 | |
| GITSBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 31.6 | |
| GLISTERBackbone=Transformer, Sampling ratio=0.102026.03 | 33.7 | |
| uniformBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 35.9 | |
| loss-onlyBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 36.4 | |
| GITSBackbone=FNO, Sampling ratio=0.102026.03 | 39.3 | |
| GradMatchBackbone=Transformer, Sampling ratio=0.102026.03 | 40.1 | |
| uniformBackbone=Transformer, Sampling ratio=0.102026.03 | 40.4 | |
| GradMatchBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 41 | |
| GITSBackbone=FNO, Sampling Ratio=0.202026.03 | 44.5 | |
| coverage-onlyBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 45.5 | |
| GLISTERBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 46.8 | |
| loss-onlyBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 46.9 | |
| uniformBackbone=FNO, Sampling ratio=0.102026.03 | 47.3 | |
| loss-onlyBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 48.1 | |
| coverage-onlyBackbone=FNO, Sampling Ratio=0.202026.03 | 49.3 | |
| coverage-onlyBackbone=FNO, Sampling ratio=0.102026.03 | 50.4 | |
| GLISTERBackbone=Transformer, Sampling ratio=0.102026.03 | 51.1 | |
| uniformBackbone=FNO, Sampling Ratio=0.202026.03 | 51.3 | |
| PRISMBackbone=Transformer, Sampling ratio=0.102026.03 | 52.9 | |
| loss-onlyBackbone=Transformer, Sampling Ratio=0.202026.03 | 54.7 | |
| GradMatchBackbone=Transformer, Sampling Ratio=0.202026.03 | 55.1 | |
| GLISTERBackbone=U-Net, Sampling ratio=0.102026.03 | 55.8 | |
| GradMatchBackbone=Transformer, Sampling ratio=0.102026.03 | 56.6 | |
| GLISTERBackbone=Transformer, Sampling Ratio=0.202026.03 | 57 | |
| PRISMBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 59 | |
| loss-onlyBackbone=Transformer, Sampling ratio=0.102026.03 | 61.2 | |
| loss-onlyBackbone=U-Net, Sampling ratio=0.102026.03 | 62.4 | |
| PRISMBackbone=Transformer, Sampling Ratio=0.202026.03 | 63.1 | |
| loss-onlyBackbone=FNO, Sampling ratio=0.102026.03 | 69 | |
| loss-onlyBackbone=Transformer, Sampling ratio=0.102026.03 | 71.3 | |
| loss-onlyBackbone=FNO, Sampling ratio=0.102026.03 | 74.7 | |
| PRISMBackbone=FNO, Sampling ratio=0.102026.03 | 77.1 | |
| PRISMBackbone=FNO, Sampling Ratio=0.202026.03 | 78.2 | |
| GLISTERBackbone=FNO, Sampling ratio=0.102026.03 | 79.1 | |
| GradMatchBackbone=FNO, Sampling ratio=0.102026.03 | 82.3 | |
| loss-onlyBackbone=FNO, Sampling Ratio=0.202026.03 | 82.3 | |
| GLISTERBackbone=FNO, Sampling Ratio=0.202026.03 | 83.1 | |
| GradMatchBackbone=FNO, Sampling Ratio=0.202026.03 | 87.6 | |
| PRISMBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 88.5 | |
| PRISMBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 88.6 | |
| GLISTERBackbone=ConvLSTM, Sampling ratio=0.102026.03 | 89.6 | |
| GLISTERBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 98.1 |