Time-series forecasting on Traffic (MSE, DILATE)
0.247Best MSEDGF
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DGF2026.06 | 0.247 | 0.295 | 0.142 | 0.12 | |
| Full finetuning2026.06 | 0.353 | 0.407 | 0.174 | 0.158 | |
| Moirai-base2026.06 | 0.375 | 0.42 | 0.232 | 0.208 | |
| STRIPEVariant=S+T2026.06 | 6.5 | 10.1 | 19.2 | 14.2 | |
| DeepAR2026.06 | 6.6 | 15.1 | 30.3 | 16.9 | |
| Diverse DPP2026.06 | 6.9 | 11.2 | 20.5 | 14.7 | |
| N-BEATSLoss=MSE2026.06 | 7.8 | — | — | 22.1 | |
| Variety Loss2026.06 | 7.9 | 9.8 | 18.9 | 15.9 | |
| cVAELoss=DILATE2026.06 | 8.8 | 10 | 19.1 | 17 | |
| Entropy Regularization2026.06 | 10.3 | 11.4 | 19.1 | 16.8 | |
| N-BEATSLoss=DILATE2026.06 | 17.1 | — | — | 17.8 |