SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 51–60 of 1237 papers

TitleStatusHype
Estimating conditional density of missing values using deep Gaussian mixture modelCode1
Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large DimensionsCode1
Flow Models for Arbitrary Conditional LikelihoodsCode1
FM-TS: Flow Matching for Time Series GenerationCode1
3D Human Body Reshaping with Anthropometric ModelingCode1
DAEMA: Denoising Autoencoder with Mask AttentionCode1
Generative Table Pre-training Empowers Models for Tabular PredictionCode1
Graph Convolutional Networks for Graphs Containing Missing FeaturesCode1
ACFlow: Flow Models for Arbitrary Conditional LikelihoodsCode1
Deep Gaussian Process Emulation using Stochastic ImputationCode1
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All datasetsHMNISTPhysioNet Challenge 2012Sprites

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)MSE0—Unverified