Operator Learning Rollout Prediction on Burgers' Equation E1
0MSETF-SNO
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TF-SNOStep=12026.06 | 0 | 0.0021 | 0.0026 | |
| U-NOStep=12026.06 | 0 | 0.0022 | 0.0039 | |
| FINOStep=12026.06 | 0 | 0.0024 | 0.0038 | |
| FNOStep=12026.06 | 0 | 0.0076 | 0.0114 | |
| PINOStep=12026.06 | 0 | 0.007 | 0.0129 | |
| WNOStep=12026.06 | 0 | 0.0065 | 0.007 | |
| TF-SNOStep=102026.06 | 0 | 0.015 | 0.0216 | |
| U-NOStep=102026.06 | 0.0001 | 0.0175 | 0.0239 | |
| FINOStep=102026.06 | 0.0001 | 0.0225 | 0.032 | |
| TF-SNOStep=252026.06 | 0.0002 | 0.0326 | 0.0486 | |
| U-NOStep=252026.06 | 0.0002 | 0.0377 | 0.0446 | |
| DeepONetStep=252026.06 | 0.0003 | 0.0436 | 0.0752 | |
| FINOStep=252026.06 | 0.0005 | 0.0516 | 0.0655 | |
| FNOStep=102026.06 | 0.0006 | 0.0538 | 0.0636 | |
| WNOStep=102026.06 | 0.0007 | 0.0621 | 0.0624 | |
| TF-SNOStep=502026.06 | 0.0008 | 0.0651 | 0.0971 | |
| PINOStep=102026.06 | 0.0008 | 0.0601 | 0.0864 | |
| U-NOStep=502026.06 | 0.001 | 0.0783 | 0.0782 | |
| DeepONetStep=102026.06 | 0.0016 | 0.0954 | 0.1661 | |
| FINOStep=502026.06 | 0.0021 | 0.1041 | 0.1384 | |
| FNOStep=252026.06 | 0.0022 | 0.1031 | 0.1202 | |
| DeepONetStep=502026.06 | 0.0022 | 0.1109 | 0.2478 | |
| DeepONetStep=12026.06 | 0.0024 | 0.1205 | 0.2057 | |
| WNOStep=252026.06 | 0.0038 | 0.1471 | 0.1459 | |
| PINOStep=252026.06 | 0.0048 | 0.1446 | 0.2007 | |
| FNOStep=502026.06 | 0.0079 | 0.2003 | 0.2225 | |
| WNOStep=502026.06 | 0.0264 | 0.3584 | 0.4255 | |
| PINOStep=502026.06 | 0.0265 | 0.3385 | 0.4541 |