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Deconvolutional Density Network: Modeling Free-Form Conditional Distributions

AAAI 2022 · Probabilistic and scientific modeling › Variational and generative sampling · approach: Likelihood-free and graphical model estimation · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use the deconvolutional density network instead of the strongest listed baselineconditional density estimation · Fishlog-likelihood: -1.38±0.14 -> -1.11±0.08Helped
use the deconvolutional density network instead of the strongest listed baselineconditional density estimation · Concretelog-likelihood: -1.09±0.11 -> -0.58±0.14Helped
use the deconvolutional density network instead of the strongest listed baselineconditional density estimation · Energylog-likelihood: -8.28±2.74 -> 1.87±0.23Helped
use the deconvolutional density network instead of the strongest listed baselineconditional density estimation · Parkinsonslog-likelihood: -1.81±0.09 -> -0.14±0.03Helped
use the deconvolutional density network instead of the strongest listed baselineconditional density estimation · Temperaturelog-likelihood: -2.95±0.13 -> -0.71±0.07Helped
use the deconvolutional density network instead of the strongest listed baselineconditional density estimation · Airlog-likelihood: 0.47±0.32 -> 1.32±0.05Helped
use the deconvolutional density network instead of the strongest listed baselineconditional density estimation · Skillcraftlog-likelihood: -8.54±0.43 -> -1.56±0.07Helped
add the variational layer (ablation)DDN · Fishlog-likelihood: -2.24±0.18 -> -1.11±0.08Helped
add the variational layer (ablation)DDN · Concretelog-likelihood: -3.78±0.81 -> -0.58±0.14Helped
add the variational layer (ablation)DDN · Energylog-likelihood: -1.56±0.81 -> 1.87±0.23Helped
add the variational layer (ablation)DDN · Parkinsonslog-likelihood: -0.17±0.05 -> -0.14±0.03Hurt
add the variational layer (ablation)DDN · Temperaturelog-likelihood: -0.84±0.07 -> -0.71±0.07Helped

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