Regression on Synthetic (weakly-periodic) Out-of-input-distribution (OOID)
0.01NKL DivergenceConvGNP
Evaluation Results
| Method | Links | |
|---|---|---|
| ConvGNPInput dimension (dx)=12023.06 | 0.01 | |
| ConvGNPdx=12023.06 | 0.01 | |
| ConvGNPInput dimension (dx)=22023.06 | 0.02 | |
| RGNP (sta)Input dimension (dx)=12023.06 | 0.03 | |
| RGNPdx=1, Stationarity=True2023.06 | 0.03 | |
| RGNP (sta)Input dimension (dx)=22023.06 | 0.05 | |
| RGNP (sta)Input dimension (dx)=32023.06 | 0.05 | |
| RGNPdx=3, Stationarity=True2023.06 | 0.05 | |
| RGNP (sta)Input dimension (dx)=52023.06 | 0.08 | |
| RGNPdx=5, Stationarity=True2023.06 | 0.08 | |
| RGNP (sta)Input dimension (dx)=102023.06 | 0.11 | |
| ConvCNPInput dimension (dx)=22023.06 | 0.2 | |
| ConvCNPInput dimension (dx)=12023.06 | 0.21 | |
| ConvCNPdx=12023.06 | 0.21 | |
| RCNP (sta)Input dimension (dx)=12023.06 | 0.24 | |
| RCNP (sta)Input dimension (dx)=22023.06 | 0.24 | |
| RCNPdx=1, Stationarity=True2023.06 | 0.24 | |
| RCNP (sta)Input dimension (dx)=32023.06 | 0.28 | |
| RCNPdx=3, Stationarity=True2023.06 | 0.28 | |
| RCNP (sta)Input dimension (dx)=52023.06 | 0.31 | |
| RCNP (sta)Input dimension (dx)=102023.06 | 0.31 | |
| RCNPdx=5, Stationarity=True2023.06 | 0.31 | |
| GNPInput dimension (dx)=102023.06 | 0.49 | |
| GNPInput dimension (dx)=52023.06 | 0.62 | |
| TrivialInput dimension (dx)=102023.06 | 0.76 | |
| TrivialInput dimension (dx)=52023.06 | 0.77 | |
| TrivialInput dimension (dx)=12023.06 | 0.78 | |
| TrivialInput dimension (dx)=32023.06 | 0.8 | |
| TrivialInput dimension (dx)=22023.06 | 0.81 | |
| CNPInput dimension (dx)=102023.06 | 1.03 | |
| GNPInput dimension (dx)=32023.06 | 1.47 | |
| CNPInput dimension (dx)=32023.06 | 1.58 | |
| CNPdx=32023.06 | 1.58 | |
| CNPInput dimension (dx)=22023.06 | 1.81 | |
| CNPInput dimension (dx)=52023.06 | 2.2 | |
| CNPdx=52023.06 | 2.2 | |
| GNPInput dimension (dx)=22023.06 | 2.57 | |
| CNPInput dimension (dx)=12023.06 | 2.88 | |
| CNPdx=12023.06 | 2.88 |