SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1025 of 1237 papers

TitleStatusHype
Scalable imputation of genetic data with a discrete fragmentation-coagulation process—0
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
CATE Estimation With Potential Outcome Imputation From Local Regression—0
Algorithmic Recourse with Missing Values—0
Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation—0
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning—0
Covariance Decomposition for Distance Based Species Tree Estimation—0
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models—0
Scaling Experiments in Self-Supervised Cross-Table Representation Learning—0
Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation—0
Scaling Wearable Foundation Models—0
CrowdMI: Multiple Imputation via Crowdsourcing—0
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization—0
Convolutional Bipartite Attractor Networks—0
Customer Price Sensitivities in Competitive Automobile Insurance Markets—0
Convergence Properties of Kronecker Graphical Lasso Algorithms—0
DAM: Towards A Foundation Model for Time Series Forecasting—0
Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation—0
scGNN: scRNA-seq Dropout Imputation via Induced Hierarchical Cell Similarity Graph—0
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain—0
scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders—0
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation—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