SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1050 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
Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure—0
Score matching for sub-Riemannian bridge sampling—0
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance—0
Data Imputation through the Identification of Local Anomalies—0
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit—0
Data is missing again -- Reconstruction of power generation data using k-Nearest Neighbors and spectral graph theory—0
Dataset-Agnostic Recommender Systems—0
Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification—0
Data Wrangling Task Automation Using Code-Generating Language Models—0
Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble—0
WARP: An Efficient Engine for Multi-Vector Retrieval—0
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving—0
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation—0
Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition—0
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics—0
Deconvolutional Networks on Graph Data—0
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models—0
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves—0
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems—0
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images—0
Deep Distribution-preserving Incomplete Clustering with Optimal Transport—0
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
Contextual HyperNetworks for Novel Feature Adaptation—0
Deep Generative Imputation Model for Missing Not At Random Data—0
Show:102550
← PrevPage 21 of 25Next →
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