| Diffusion models for missing value imputation in tabular data | Oct 31, 2022 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations | May 26, 2022 | ImputationMultivariate Time Series Imputation | CodeCode Available | 1 | 5 |
| Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data | Aug 3, 2023 | Data IntegrationImputation | CodeCode Available | 1 | 5 |
| Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series | Feb 15, 2021 | ImputationTime Series | CodeCode Available | 1 | 5 |
| ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics | Dec 4, 2024 | AnatomyDiagnostic | CodeCode Available | 1 | 5 |
| MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection | Feb 17, 2021 | ImputationInstance Segmentation | CodeCode Available | 1 | 5 |
| Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow | Jun 22, 2024 | Imputation | CodeCode Available | 1 | 5 |
| Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities | Jul 19, 2024 | ImputationRecommendation Systems | CodeCode Available | 1 | 5 |
| Joints in Random Forests | Jun 25, 2020 | Imputation | CodeCode Available | 1 | 5 |
| Lipschitz standardization for multivariate learning | Feb 26, 2020 | ImputationMulti-Task Learning | CodeCode Available | 1 | 5 |
| MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms | Nov 4, 2021 | Imputation | CodeCode Available | 1 | 5 |
| Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series | Jul 29, 2021 | ImputationMortality Prediction | CodeCode Available | 1 | 5 |
| Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections | Jun 12, 2020 | Imputationtensor algebra | CodeCode Available | 1 | 5 |
| Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation | May 28, 2021 | counterfactualImputation | CodeCode Available | 1 | 5 |
| Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation | Feb 6, 2023 | Computational EfficiencyImputation | CodeCode Available | 1 | 5 |
| A Transformer-based Framework for Multivariate Time Series Representation Learning | Oct 6, 2020 | Computational EfficiencyGeneral Classification | CodeCode Available | 1 | 5 |
| Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models | Sep 12, 2024 | DenoisingImputation | CodeCode Available | 1 | 5 |
| Estimating conditional density of missing values using deep Gaussian mixture model | Oct 5, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Improving Retrieval-Augmented Large Language Models via Data Importance Learning | Jul 6, 2023 | ImputationQuestion Answering | CodeCode Available | 1 | 5 |
| STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM | Jul 12, 2024 | Few-Shot LearningImputation | CodeCode Available | 1 | 5 |
| A Unified Framework for Synthesizing Multisequence Brain MRI via Hybrid Fusion | Jun 21, 2024 | Imputation | CodeCode Available | 1 | 5 |
| AutoDebias: Learning to Debias for Recommendation | May 10, 2021 | ImputationMeta-Learning | CodeCode Available | 1 | 5 |
| T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction | Sep 22, 2022 | ImputationPedestrian Trajectory Prediction | CodeCode Available | 1 | 5 |
| Imaging Time-Series to Improve Classification and Imputation | Jun 1, 2015 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions | Mar 4, 2021 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation | Dec 4, 2023 | ImputationInductive Bias | CodeCode Available | 1 | 5 |
| HyperImpute: Generalized Iterative Imputation with Automatic Model Selection | Jun 15, 2022 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Grounding Graph Network Simulators using Physical Sensor Observations | Feb 23, 2023 | ImputationMotion Planning | CodeCode Available | 1 | 5 |
| Identifiable Generative Models for Missing Not at Random Data Imputation | Oct 27, 2021 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Imputer: Sequence Modelling via Imputation and Dynamic Programming | Feb 20, 2020 | Imputationspeech-recognition | CodeCode Available | 1 | 5 |
| Gaussian Processes for Missing Value Imputation | Apr 10, 2022 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| From data to functa: Your data point is a function and you can treat it like one | Jan 28, 2022 | Deep LearningImputation | CodeCode Available | 1 | 5 |
| FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail | May 22, 2025 | Demand ForecastingImputation | CodeCode Available | 1 | 5 |
| GAIN: Missing Data Imputation using Generative Adversarial Nets | Jun 7, 2018 | ImputationMultivariate Time Series Imputation | CodeCode Available | 1 | 5 |
| Conditional expectation with regularization for missing data imputation | Feb 2, 2023 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Graph Convolutional Networks for Graphs Containing Missing Features | Jul 9, 2020 | Graph LearningImputation | CodeCode Available | 1 | 5 |
| Handling Missing Data with Graph Representation Learning | Oct 30, 2020 | Graph Representation LearningImputation | CodeCode Available | 1 | 5 |
| HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data | Feb 8, 2021 | Graph Neural NetworkImputation | CodeCode Available | 1 | 5 |
| Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM | Jun 14, 2023 | ImputationSports Analytics | CodeCode Available | 1 | 5 |
| Generative Imputation and Stochastic Prediction | May 22, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection | Jul 3, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 | 5 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling | Oct 18, 2022 | ImputationIrregular Time Series | CodeCode Available | 1 | 5 |
| Confidence-Based Feature Imputation for Graphs with Partially Known Features | May 26, 2023 | Graph LearningImputation | CodeCode Available | 1 | 5 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 | 5 |
| Federated Foundation Models on Heterogeneous Time Series | Dec 12, 2024 | Anomaly DetectionFederated Learning | CodeCode Available | 1 | 5 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| A Bayesian Model of Dose-Response for Cancer Drug Studies | Jun 10, 2019 | DenoisingDrug Discovery | CodeCode Available | 1 | 5 |
| Flow Models for Arbitrary Conditional Likelihoods | Sep 13, 2019 | Image InpaintingImputation | CodeCode Available | 1 | 5 |
| Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information | Nov 2, 2023 | ImputationKnowledge Graph Completion | CodeCode Available | 1 | 5 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 | 5 |
