Spatiotemporal forecasting on Active Matter (test)
0.3162NRMSEMFFM (cascade)
Evaluation results
| Method | Links | |
|---|---|---|
| MFFM (cascade)Input=LF solution2026.05 | 0.3162 | |
| DeepONet (residual)Input=LF solution2026.05 | 0.3441 | |
| Bilinear2026.05 | 0.3635 | |
| DeepONet (direct)Input=xi2026.05 | 0.7937 | |
| F-FNOInput=LF solution2026.05 | 1.311 | |
| FNO (residual)Input=LF solution2026.05 | 2.644 | |
| CNOInput=LF solution2026.05 | 9.396 | |
| PDE-RefinerInput=LF solution2026.05 | 9.89 | |
| FNO (direct)Input=xi2026.05 | 96.72 |