Rollout Prediction on PDEBench diff-sorp (test)
0.105nRMSEGITS
Evaluation Results
| Method | Links | |
|---|---|---|
| GITSBackbone=FNO, Sampling Ratio=0.202026.03 | 0.105 | |
| PRISMBackbone=FNO, Sampling Ratio=0.202026.03 | 0.118 | |
| uniformBackbone=FNO, Sampling Ratio=0.202026.03 | 0.135 | |
| GITSBackbone=Transformer, Sampling Ratio=0.202026.03 | 0.14 | |
| GradMatchBackbone=Transformer, Sampling Ratio=0.202026.03 | 0.156 | |
| coverage-onlyBackbone=Transformer, Sampling Ratio=0.202026.03 | 0.16 | |
| GLISTERBackbone=FNO, Sampling Ratio=0.202026.03 | 0.163 | |
| loss-onlyBackbone=Transformer, Sampling Ratio=0.202026.03 | 0.17 | |
| PRISMBackbone=Transformer, Sampling Ratio=0.202026.03 | 0.179 | |
| GradMatchBackbone=FNO, Sampling Ratio=0.202026.03 | 0.183 | |
| coverage-onlyBackbone=FNO, Sampling Ratio=0.202026.03 | 0.187 | |
| uniformBackbone=Transformer, Sampling Ratio=0.202026.03 | 0.213 | |
| GLISTERBackbone=Transformer, Sampling Ratio=0.202026.03 | 0.238 | |
| loss-onlyBackbone=FNO, Sampling Ratio=0.202026.03 | 0.309 | |
| uniformBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 0.316 | |
| GITSBackbone=U-Net, Sampling Ratio=0.202026.03 | 0.433 | |
| GradMatchBackbone=U-Net, Sampling Ratio=0.202026.03 | 0.484 | |
| GLISTERBackbone=U-Net, Sampling Ratio=0.202026.03 | 0.549 | |
| PRISMBackbone=U-Net, Sampling Ratio=0.202026.03 | 0.562 | |
| GLISTERBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 0.587 | |
| PRISMBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 0.591 | |
| uniformBackbone=U-Net, Sampling Ratio=0.202026.03 | 0.604 | |
| loss-onlyBackbone=U-Net, Sampling Ratio=0.202026.03 | 0.65 | |
| GITSBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 0.66 | |
| coverage-onlyBackbone=U-Net, Sampling Ratio=0.202026.03 | 0.713 | |
| coverage-onlyBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 0.804 | |
| loss-onlyBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 0.962 | |
| GradMatchBackbone=ConvLSTM, Sampling Ratio=0.202026.03 | 0.994 |