Multimodal Forecasting on TimeMMD Climate
0.862MSEAurora
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AuroraTraining Protocol=10% few-shot, Model Category=Foundation Model2025.09 | 0.862 | 0.746 | |
| AuroraTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.865 | 0.749 | |
| SundialTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 1.154 | 0.881 | |
| TATSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 1.18 | 0.887 | |
| GPT4MTSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 1.182 | 0.889 | |
| Time-VLMTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 1.195 | 0.899 | |
| CALFTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 1.286 | 0.922 | |
| VisionTSTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 1.307 | 0.93 | |
| ROSETraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 1.475 | 0.987 | |
| MOIRAITraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 1.921 | 1.095 |