Time Series Forecasting on ETT (test)
0.129MSE (Average)Convex-value
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Convex-valueSchedule=One-Pass2026.03 | 0.129 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Convex-ranksSchedule=One-Pass2026.03 | 0.267 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Convex-valueSchedule=Baby-Steps2026.03 | 0.298 | — | — | — | — | — | — | — | — | — | — | — | — | |
| GridSchedule=One-Pass2026.03 | 0.375 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CleanSurrogate Model=TimesNet2026.02 | 0.395 | 0.411 | 0.377 | 0.398 | 0.42 | 0.4 | 0.412 | 0.411 | 0 | — | — | — | — | |
| ADJMSurrogate Model=TimesNet2026.02 | 0.397 | 0.412 | 0.379 | 0.402 | 0.42 | 0.401 | 0.415 | 0.412 | 50 | — | — | — | — | |
| BOSurrogate Model=TimesNet2026.02 | 0.399 | 0.414 | 0.377 | 0.405 | 0.424 | 0.401 | 0.42 | 0.415 | 80 | — | — | — | — | |
| PGDSurrogate Model=TimesNet2026.02 | 0.402 | 0.418 | 0.382 | 0.407 | 0.423 | 0.403 | 0.417 | 0.414 | 170 | — | — | — | — | |
| TCASurrogate Model=TimesNet2026.02 | 0.403 | 0.418 | 0.384 | 0.407 | 0.424 | 0.405 | 0.418 | 0.415 | 200 | — | — | — | — | |
| FGSMSurrogate Model=TimesNet2026.02 | 0.405 | 0.421 | 0.385 | 0.41 | 0.425 | 0.406 | 0.42 | 0.417 | 250 | — | — | — | — | |
| BIMSurrogate Model=TimesNet2026.02 | 0.405 | 0.42 | 0.385 | 0.409 | 0.424 | 0.405 | 0.419 | 0.416 | 240 | — | — | — | — | |
| MI-FGSMSurrogate Model=TimesNet2026.02 | 0.405 | 0.421 | 0.385 | 0.41 | 0.425 | 0.406 | 0.42 | 0.417 | 260 | — | — | — | — | |
| ATSGSurrogate Model=TimesNet2026.02 | 0.405 | 0.42 | 0.385 | 0.409 | 0.425 | 0.406 | 0.42 | 0.417 | 240 | — | — | — | — | |
| MI-TGAMSurrogate Model=TimesNet2026.02 | 0.411 | 0.426 | 0.39 | 0.416 | 0.429 | 0.41 | 0.424 | 0.421 | 390 | — | — | — | — | |
| k-NNSchedule=Baby-Steps2026.03 | 0.556 | — | — | — | — | — | — | — | — | — | — | — | — | |
| k-NNSchedule=One-Pass2026.03 | 0.582 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Convex-ranksSchedule=Baby-Steps2026.03 | 0.757 | — | — | — | — | — | — | — | — | — | — | — | — | |
| KDESchedule=One-Pass2026.03 | 0.83 | — | — | — | — | — | — | — | — | — | — | — | — | |
| GridSchedule=Baby-Steps2026.03 | 0.847 | — | — | — | — | — | — | — | — | — | — | — | — | |
| STLSchedule=Baby-Steps2026.03 | 0.914 | — | — | — | — | — | — | — | — | — | — | — | — | |
| STLSchedule=One-Pass2026.03 | 0.928 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RandomSchedule=Baby-Steps2026.03 | 0.935 | — | — | — | — | — | — | — | — | — | — | — | — | |
| KDESchedule=Baby-Steps2026.03 | 0.969 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Loss-basedSchedule=Baby-Steps2026.03 | 0.987 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RandomSchedule=One-Pass2026.03 | 1.004 | — | — | — | — | — | — | — | — | — | — | — | — | |
| No-curriculumSchedule=One-Pass2026.03 | 1.005 | — | — | — | — | — | — | — | — | — | — | — | — | |
| No-curriculumSchedule=Baby-Steps2026.03 | 1.005 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Loss-basedSchedule=One-Pass2026.03 | 1.051 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ESNNumber of recurrent neurons=128, Architecture=Shallow2026.01 | — | — | — | — | — | — | — | — | — | 9.1 | 13 | 6.7 | 9.9 | |
| ESN (deep)Number of recurrent neurons=128, Architecture=Deep2026.01 | — | — | — | — | — | — | — | — | — | 8.9 | 9.6 | 6.6 | 6 | |
| ParalESNNumber of recurrent neurons=128, Architecture=Shallow2026.01 | — | — | — | — | — | — | — | — | — | 9 | 12.8 | 6.5 | 5.1 | |
| ParalESN (deep)Number of recurrent neurons=128, Architecture=Deep2026.01 | — | — | — | — | — | — | — | — | — | 8.8 | 9.7 | 6.5 | 5 |