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Autoregressive Conditional Neural Processes

ICLR 2023 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Infinite-width networks as Gaussian processes · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · Synthetic EQ, d_x,d_y=1Norm. KL to truth: 0.41 ± 0.01 -> 0.01 ± 0.00Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · Synthetic EQ, d_x,d_y=2Norm. KL to truth: 0.41 ± 0.00 -> 0.03 ± 0.00Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · Synthetic sawtooth, d_x,d_y=1Norm. log-lik.: 2.38 ± 0.04 -> 3.60 ± 0.01Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · Synthetic sawtooth, d_x,d_y=2Norm. log-lik.: 0.12 ± 0.01 -> 0.38 ± 0.00Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · Synthetic mixture, d_x,d_y=1Norm. log-lik.: −0.23 ± 0.04 -> 0.45 ± 0.04Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · Synthetic mixture, d_x,d_y=2Norm. log-lik.: −0.85 ± 0.01 -> −0.62 ± 0.01Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · EEG interpolationNorm. log-likelihood: −1.02 ± 0.01 -> −0.34 ± 0.01Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · EEG reconstructionNorm. log-likelihood: −2.07 ± 0.03 -> −0.63 ± 0.01Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · Antarctic cloud cover, Gaussian likelihoodLog-lik.: 0.58 ± 0.02 -> 0.88 ± 0.02Helped
Deploy ConvCNP autoregressively at test time (ablation)ConvCNP · Antarctic cloud cover, Gaussian likelihoodMAE (%): 13.01 ± 0.16 -> 13.01 ± 0.16No clear effect
Use beta-categorical rather than Gaussian likelihood with autoregressive ConvCNP (ablation)ConvCNP (AR) · Antarctic cloud coverLog-lik.: 0.88 ± 0.02; 1.27 ± 0.02Mixed
Deploy ConvCNP autoregressively with the multiscale architecture (ablation)ConvCNP · Temperature downscaling with stationsNorm. log-lik.: −1.55 ± 0.01 -> −1.31 ± 0.01Helped

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