Regression on Synthetic Sawtooth (Out-of-input-distribution)
3.99Normalized Log-LikelihoodConvGNP
Evaluation results
| Method | Links | |
|---|---|---|
| ConvGNPInput dimensions (dx)=22023.06 | 3.99 | |
| ConvGNPInput dimensions (dx)=12023.06 | 3.97 | |
| 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 | 3.04 | |
| RGNP (sta)Input dimensions (dx)=22023.06 | 2.13 | |
| RCNP (sta)Input dimensions (dx)=22023.06 | 1.74 | |
| RGNP (sta)Input dimensions (dx)=102023.06 | 1.32 | |
| RGNP (sta)Input dimensions (dx)=52023.06 | 1.13 | |
| RGNP (sta)Input dimensions (dx)=32023.06 | 1.09 | |
| RCNP (sta)Input dimensions (dx)=32023.06 | 0.85 | |
| RCNP (sta)Input dimensions (dx)=102023.06 | 0.75 | |
| RCNP (sta)Input dimensions (dx)=52023.06 | 0.44 | |
| GNPInput dimensions (dx)=32023.06 | 0.36 | |
| GNPInput dimensions (dx)=102023.06 | 0.27 | |
| GNPInput dimensions (dx)=52023.06 | 0.02 | |
| TrivialInput dimensions (dx)=102023.06 | -0.18 | |
| TrivialInput dimensions (dx)=32023.06 | -0.19 | |
| TrivialInput dimensions (dx)=52023.06 | -0.19 | |
| CNPInput dimensions (dx)=32023.06 | -0.23 | |
| TrivialInput dimensions (dx)=12023.06 | -0.27 | |
| TrivialInput dimensions (dx)=22023.06 | -0.27 | |
| CNPInput dimensions (dx)=22023.06 | -3.27 |