Multimodal Forecasting on TimeMMD Health
1.343MSEAurora
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AuroraTraining Protocol=10% few-shot, Model Category=Foundation Model2025.09 | 1.343 | 0.776 | |
| TATSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 1.356 | 0.767 | |
| GPT4MTSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 1.464 | 0.799 | |
| Time-VLMTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 1.489 | 0.834 | |
| CALFTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 1.491 | 0.775 | |
| AuroraTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 1.553 | 0.85 | |
| SundialTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 1.97 | 0.992 | |
| VisionTSTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 2.436 | 1.221 | |
| ROSETraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 2.598 | 1.201 | |
| MOIRAITraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 2.736 | 1.241 |