SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 1201–1237 of 1237 papers

TitleStatusHype
CollaGAN: Collaborative GAN for Missing Image Data Imputation—0
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values—0
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Forecasting the Price of Rice in Banda Aceh after Covid-19—0
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation—0
Analytical Probability Distributions and EM-Learning for Deep Generative Networks—0
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems—0
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks—0
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and Prediction—0
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection—0
Collaboratively Learning Linear Models with Structured Missing Data—0
Driving Mechanisms and Forecasting of China's Pet Population-An ARIMA-RF-HW Hybrid Approach—0
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning—0
Cohort-Based Active Modality Acquisition—0
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data—0
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks—0
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation—0
Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information—0
CodeBrain: Impute Any Brain MRI via Instance-specific Scalar-quantized Codes—0
Gaussian process imputation of multiple financial series—0
GEDI: A Graph-based End-to-end Data Imputation Framework—0
Some performance considerations when using multi-armed bandit algorithms in the presence of missing data—0
General Causal Imputation via Synthetic Interventions—0
Generalised learning of time-series: Ornstein-Uhlenbeck processes—0
An Admissible Shift-Consistent Method for Recommender Systems—0
Generalized Linear Models for Aggregated Data—0
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint—0
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data—0
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs—0
Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting—0
Generative Adversarial Classification Network with Application to Network Traffic Classification—0
Generative Adversarial Networks For Graph Data Imputation From Signed Observations—0
Generative Adversarial Networks for Imputing Sparse Learning Performance—0
Generative Adversarial Networks for Spatio-temporal Data: A Survey—0
Generative Forests—0
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach—0
Generative Partial Multi-View Clustering—0
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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