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Regression on Synthetic (weakly-periodic) Out-of-input-distribution (OOID)

0.01NKL DivergenceConvGNP
-0.10480.67011.4452.2199Jun 19, 2023
Updated 8mo ago

Evaluation results

MethodLinks
ConvGNPInput dimension (dx)=12023.060.01
ConvGNPdx=12023.060.01
ConvGNPInput dimension (dx)=22023.060.02
RGNP (sta)Input dimension (dx)=12023.060.03
RGNPdx=1, Stationarity=True2023.060.03
RGNP (sta)Input dimension (dx)=22023.060.05
RGNP (sta)Input dimension (dx)=32023.060.05
RGNPdx=3, Stationarity=True2023.060.05
RGNP (sta)Input dimension (dx)=52023.060.08
RGNPdx=5, Stationarity=True2023.060.08
RGNP (sta)Input dimension (dx)=102023.060.11
ConvCNPInput dimension (dx)=22023.060.2
ConvCNPInput dimension (dx)=12023.060.21
ConvCNPdx=12023.060.21
RCNP (sta)Input dimension (dx)=12023.060.24
RCNP (sta)Input dimension (dx)=22023.060.24
RCNPdx=1, Stationarity=True2023.060.24
RCNP (sta)Input dimension (dx)=32023.060.28
RCNPdx=3, Stationarity=True2023.060.28
RCNP (sta)Input dimension (dx)=52023.060.31
RCNP (sta)Input dimension (dx)=102023.060.31
RCNPdx=5, Stationarity=True2023.060.31
GNPInput dimension (dx)=102023.060.49
GNPInput dimension (dx)=52023.060.62
TrivialInput dimension (dx)=102023.060.76
TrivialInput dimension (dx)=52023.060.77
TrivialInput dimension (dx)=12023.060.78
TrivialInput dimension (dx)=32023.060.8
TrivialInput dimension (dx)=22023.060.81
CNPInput dimension (dx)=102023.061.03
GNPInput dimension (dx)=32023.061.47
CNPInput dimension (dx)=32023.061.58
CNPdx=32023.061.58
CNPInput dimension (dx)=22023.061.81
CNPInput dimension (dx)=52023.062.2
CNPdx=52023.062.2
GNPInput dimension (dx)=22023.062.57
CNPInput dimension (dx)=12023.062.88
CNPdx=12023.062.88