Regression on Synthetic Sawtooth (Interpolation)
4.11Normalized Log-LikelihoodConvGNP
Evaluation results
| Method | Links | |
|---|---|---|
| ConvGNPInput dimensions (dx)=22023.06 | 4.11 | |
| ConvGNPInput dimensions (dx)=12023.06 | 3.94 | |
| RGNP (sta)Input dimensions (dx)=12023.06 | 3.9 | |
| ConvCNPInput dimensions (dx)=22023.06 | 3.66 | |
| ConvCNPInput dimensions (dx)=12023.06 | 3.64 | |
| RCNP (sta)Input dimensions (dx)=12023.06 | 3.03 | |
| CNPInput dimensions (dx)=12023.06 | 2.25 | |
| RGNP (sta)Input dimensions (dx)=22023.06 | 2.13 | |
| RCNP (sta)Input dimensions (dx)=22023.06 | 1.73 | |
| RGNP (sta)Input dimensions (dx)=102023.06 | 1.33 | |
| CNPInput dimensions (dx)=22023.06 | 1.15 | |
| RGNP (sta)Input dimensions (dx)=52023.06 | 1.13 | |
| RGNP (sta)Input dimensions (dx)=32023.06 | 1.09 | |
| GNPInput dimensions (dx)=22023.06 | 1.04 | |
| RCNP (sta)Input dimensions (dx)=32023.06 | 0.85 | |
| GNPInput dimensions (dx)=12023.06 | 0.83 | |
| RCNP (sta)Input dimensions (dx)=102023.06 | 0.75 | |
| RCNP (sta)Input dimensions (dx)=52023.06 | 0.44 | |
| CNPInput dimensions (dx)=102023.06 | 0.03 | |
| GNPInput dimensions (dx)=32023.06 | -0.03 | |
| GNPInput dimensions (dx)=102023.06 | -0.14 | |
| GNPInput dimensions (dx)=52023.06 | -0.18 | |
| TrivialInput dimensions (dx)=102023.06 | -0.18 | |
| TrivialInput dimensions (dx)=32023.06 | -0.19 | |
| TrivialInput dimensions (dx)=52023.06 | -0.19 | |
| CNPInput dimensions (dx)=52023.06 | -0.22 | |
| TrivialInput dimensions (dx)=12023.06 | -0.27 | |
| TrivialInput dimensions (dx)=22023.06 | -0.27 | |
| CNPInput dimensions (dx)=32023.06 | -0.37 |