ResearchBenchmarksSynthetic Regression on Synthetic GP EQ kernel InterpolationSynthetic Regression on Synthetic GP EQ kernel InterpolationFollow0.01KL Divergence (dx=2)ConvGNP-0.00280.08360.170.2564Jun 19, 2023Evaluation resultsMethodMethodLinksKL Divergence (dx=2)KL Divergence (dx=3)KL Divergence (dx=5)ConvGNP2023.060.01——RGNPkernel_type=stationarykernel_type=stationary2023.060.030.050.11GNP2023.060.050.090.19FullRGNPkernel_type=isotropickernel_type=isotropic2023.060.080.140.25ConvCNP2023.060.22——RCNPkernel_type=stationarykernel_type=stationary2023.060.260.40.45FullRCNPkernel_type=isotropickernel_type=isotropic2023.060.260.310.35CNP2023.060.330.440.57