| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Energy | P-Forcing | Discriminative Score0.553 | 72 | 26d ago | |
| ETTh | Predictive Score0.22 | 69 | 26d ago | ||
| Stocks | C-RNN-GAN | Discriminative Score0.399 | 29 | 2mo ago | |
| MetroPT3 | Time-Transformer | Discriminative Score50 | 24 | 1mo ago | |
| Sine | AEQ-RVAE-ST | Discriminative Score0.021 | 24 | 1mo ago | |
| ETT | Time-Transformer | Discriminative Score50 | 24 | 1mo ago | |
| Electric Motor (EM) | Discriminative Score0.5 | 24 | 1mo ago | ||
| Sines | T-Forcing | Discriminative Score0.495 | 21 | 3mo ago | |
| Gaussian Dataset | T-Forcing | Discriminative Score (Temporal, phi=0.2)0.5 | 12 | 7d ago | |
| PU (test) | R-GAN | Predictive Score17.74 | 12 | 2mo ago | |
| Air (test) | Wave GAN | Predictive Score0.6428 | 12 | 2mo ago | |
| Stocks (test) | Predictive Score23.95 | 12 | 2mo ago | ||
| Sine (test) | Wave GAN | Predictive Score0.2566 | 12 | 2mo ago | |
| Air | Predictive Score (MAE)0.034 | 12 | 3mo ago | ||
| Chickenpox | MAE0.089 | 12 | 3mo ago | ||
| Sines Dataset | T-Forcing | Discriminative Score49.5 | 11 | 7d ago | |
| PEMS-SF | E4GEN | EM (W1)0.0138 | 10 | 1d ago | |
| PEMS-SF (test) | E4GEN | Wasserstein Distance0.0031 | 10 | 1d ago | |
| HH-Power | E4GEN | Wasserstein Distance0.1698 | 10 | 1d ago | |
| WEA-Prec | E4GEN | Wasserstein Distance133.2 | 10 | 1d ago | |
| LTST-ECG | E4GEN | Wasserstein Distance0.0352 | 10 | 1d ago | |
| WEA-TEMP | E4GEN | Wasserstein Distance0.9346 | 10 | 1d ago | |
| Syn-Data | E4GEN | Wasserstein Distance0.0144 | 10 | 1d ago | |
| Sines | Predictive Score0.15 | 10 | 5d ago | ||
| ILI | SigCWGAN | ACF1.322 | 10 | 1mo ago |
