Next observation prediction on Physionet
0.233MSEGraFITi
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GraFITi2025.10 | 0.233 | 2.781 | |
| GRUwE2025.10 | 0.261 | 2.957 | |
| HyperIMTS2025.10 | 0.269 | 2.932 | |
| ASTGI2025.09 | 0.3004 | 0.3589 | |
| Warpformer2025.09 | 0.3056 | 0.3661 | |
| Hi-Patch2025.09 | 0.3071 | 0.3675 | |
| GraFITi2025.09 | 0.3075 | 0.3637 | |
| tPatchGNN2025.09 | 0.3133 | 0.3697 | |
| mTAND2025.10 | 0.33 | 3.411 | |
| T-PatchGNN2025.10 | 0.338 | 3.259 | |
| GRU-D2025.09 | 0.3419 | 0.3992 | |
| Raindrop2025.09 | 0.3478 | 0.4044 | |
| mTAN2025.09 | 0.3809 | 0.4291 | |
| NeuralFlows2025.09 | 0.4056 | 0.4466 | |
| GRU-Δt2025.10 | 0.449 | 4.16 | |
| ContiFormer2025.10 | 0.479 | 4.232 | |
| CRU2025.09 | 0.6179 | 0.5778 | |
| GRU-D2025.10 | 0.672 | 5.459 | |
| Latent ODE2025.10 | 0.676 | 5.302 | |
| RKN-Δt2025.10 | 0.68 | 4.854 | |
| ODE-RNN2025.10 | 0.77 | 5.519 | |
| SeFT2025.09 | 0.7721 | 0.676 | |
| PrimeNet2025.09 | 0.7953 | 0.6859 | |
| CRU2025.10 | 0.807 | 5.233 | |
| GNeuralFlow2025.09 | 0.8207 | 0.6759 | |
| f-CRU2025.10 | 1.095 | 5.295 |