Multimodal Forecasting on TimeMMD Environment
0.265MSEAurora
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AuroraTraining Protocol=10% few-shot, Model Category=Foundation Model2025.09 | 0.265 | 0.372 | |
| AuroraTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.276 | 0.379 | |
| TATSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.319 | 0.396 | |
| Time-VLMTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.319 | 0.397 | |
| GPT4MTSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.323 | 0.4 | |
| CALFTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.325 | 0.387 | |
| SundialTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.336 | 0.416 | |
| MOIRAITraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.351 | 0.403 | |
| VisionTSTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.354 | 0.436 | |
| ROSETraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.392 | 0.456 |