Extreme-event time-series generation on HH-Power
0.0862EM-W1E4GEN
Evaluation Results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| E4GENType=Ours2026.06 | 0.0862 | 886 | 0.7834 | 0.1606 | 0.6672 | 0.1458 | 1.4301 | 0.5239 | 0.7284 | |
| SDForgerType=LLM2026.06 | 0.5677 | 1,383 | 4.1994 | 0.645 | 1.4516 | 0.2082 | 4.1405 | 0.6264 | 1.0743 | |
| HeavyDiffType=Extreme-Aware2026.06 | 0.8059 | 3,943 | 1.1517 | 0.9038 | 2.0354 | 0.3142 | 0.5353 | 0.56 | 0.7368 | |
| Diffusion-TSType=Diffusion2026.06 | 0.8144 | 4,505 | 1.8059 | 1.0288 | 2.2833 | 0.3284 | 0.2816 | 0.5794 | 0.9291 | |
| koVAEType=VAE2026.06 | 0.8455 | 13,305 | 1.7526 | 1.0439 | 10.0234 | 0.6979 | 4.2831 | 0.6331 | 1.0922 | |
| TimeGANType=GAN2026.06 | 1.0383 | 3,817 | 10.9922 | 1.2187 | 3.0033 | 0.5337 | 5.336 | 0.8896 | 2.1582 | |
| FIDEType=Extreme-Aware2026.06 | 1.2496 | 3,902 | 1.7325 | 0.4221 | 3.0098 | 0.3105 | 2.8839 | 0.6496 | 11.6615 | |
| TimeVAEType=VAE2026.06 | 2.2889 | 10,623 | 2.8694 | 2.5049 | 8.6922 | 0.6534 | 6.0586 | 0.9083 | 0.8072 | |
| F-FlowType=Flow2026.06 | 2.7518 | 15,812 | 2.6638 | 3.9851 | — | — | — | — | — | |
| DiffWaveType=Diffusion2026.06 | 2.9345 | 15,783 | 2.7963 | 3.1761 | — | — | — | — | — |