SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 501–550 of 1237 papers

TitleStatusHype
CATE Estimation With Potential Outcome Imputation From Local Regression—0
GIG: Graph Data Imputation With Graph Differential Dependencies—0
Handling missing values: A study of popular imputation packages in R—0
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders—0
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education—0
Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements—0
HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data—0
Generative Trees: Adversarial and Copycat—0
Generative Semi-supervised Learning for Multivariate Time Series Imputation—0
Generative Partial Multi-View Clustering—0
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods—0
Generative Forests—0
Correlated Attention in Transformers for Multivariate Time Series—0
Generative Adversarial Networks for Spatio-temporal Data: A Survey—0
Generative Adversarial Networks for Imputing Sparse Learning Performance—0
A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory—0
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation—0
Generative Adversarial Networks For Graph Data Imputation From Signed Observations—0
Generative Adversarial Classification Network with Application to Network Traffic Classification—0
CoRGi: Content-Rich Graph Neural Networks with Attention—0
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data—0
Convolutional Neural Processes for Inpainting Satellite Images—0
Generalized Linear Models for Aggregated Data—0
Convolutional Imputation of Matrix Networks—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
Generalised learning of time-series: Ornstein-Uhlenbeck processes—0
General Causal Imputation via Synthetic Interventions—0
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations—0
GEDI: A Graph-based End-to-end Data Imputation Framework—0
Convolutional Bipartite Attractor Networks—0
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches—0
Gaussian process imputation of multiple financial series—0
Convergence Properties of Kronecker Graphical Lasso Algorithms—0
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation—0
Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation—0
A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining—0
Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder—0
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks—0
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data—0
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit—0
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection—0
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and Prediction—0
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation—0
Contextual HyperNetworks for Novel Feature Adaptation—0
A data imputation method for multivariate time series based on generative adversarial network—0
A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data—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