SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 351–400 of 1237 papers

TitleStatusHype
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal ViewCode0
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic ModelCode0
Provable Privacy with Non-Private Pre-Processing—0
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation—0
Automated data processing and feature engineering for deep learning and big data applications: a survey—0
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D ImputationCode0
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation—0
Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction—0
On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets—0
scVGAE: A Novel Approach using ZINB-Based Variational Graph Autoencoder for Single-Cell RNA-Seq ImputationCode0
Caformer: Rethinking Time Series Analysis from Causal Perspective—0
Imputation of Counterfactual Outcomes when the Errors are Predictable—0
Metabolomic profiles in Jamaican children with and without autism spectrum disorder—0
A PID-Controlled Non-Negative Tensor Factorization Model for Analyzing Missing Data in NILM—0
Unity by Diversity: Improved Representation Learning in Multimodal VAEsCode1
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets—0
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational FamiliesCode0
Diffusion-TS: Interpretable Diffusion for General Time Series GenerationCode3
UniTS: A Unified Multi-Task Time Series ModelCode4
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series—0
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data—0
Certain and Approximately Certain Models for Statistical Learning—0
Doubly Calibrated Estimator for Recommendation on Data Missing Not At RandomCode0
TOTEM: TOkenized Time Series EMbeddings for General Time Series AnalysisCode3
Inference for Regression with Variables Generated by AI or Machine Learning—0
Learning Cyclic Causal Models from Incomplete Data—0
Optimal Transport for Structure Learning Under Missing DataCode0
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models—0
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation—0
Doubly Robust Inference in Causal Latent Factor Models—0
Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification—0
A step towards the integration of machine learning and small area estimation—0
Learning Cartesian Product Graphs with Laplacian Constraints—0
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems—0
Had enough of experts? Quantitative knowledge retrieval from large language models—0
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction—0
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection—0
Random features models: a way to study the success of naive imputation—0
Multilinear Kernel Regression and Imputation via Manifold Learning—0
Deep Learning for Multivariate Time Series Imputation: A SurveyCode3
Timer: Generative Pre-trained Transformers Are Large Time Series ModelsCode4
Adaptive Optimization for Prediction with Missing Data—0
Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction—0
Gower's similarity coefficients with automatic weight selection—0
Diffusion model for relational inferenceCode0
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring SystemsCode0
Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data—0
Adapting tree-based multiple imputation methods for multi-level data? A simulation study—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