SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 1237 papers

TitleStatusHype
TimesNet: Temporal 2D-Variation Modeling for General Time Series AnalysisCode6
Can Foundation Models Wrangle Your Data?Code5
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive AnalysisCode5
A Survey on Diffusion Models for Time Series and Spatio-Temporal DataCode4
UniTS: A Unified Multi-Task Time Series ModelCode4
Timer: Generative Pre-trained Transformers Are Large Time Series ModelsCode4
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted TreesCode4
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic DataCode4
Deep Learning in Single-Cell AnalysisCode3
TOTEM: TOkenized Time Series EMbeddings for General Time Series AnalysisCode3
Deep Learning for Multivariate Time Series Imputation: A SurveyCode3
TSI-Bench: Benchmarking Time Series ImputationCode3
Diffusion-TS: Interpretable Diffusion for General Time Series GenerationCode3
BMFM-DNA: A SNP-aware DNA foundation model to capture variant effectsCode2
Russian Financial Statements Database: A firm-level collection of the universe of financial statementsCode2
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting MaskCode2
TabDiff: a Multi-Modal Diffusion Model for Tabular Data GenerationCode2
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series ForecastingCode2
Image Inpainting with Learnable Feature ImputationCode2
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionCode2
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMsCode2
Large Language Models Are Zero-Shot Time Series ForecastersCode2
Integrate Any Omics: Towards genome-wide data integration for patient stratificationCode2
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time SeriesCode2
Diffusion-based Time Series Imputation and Forecasting with Structured State Space ModelsCode2
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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