| Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks | Sep 18, 2020 | ImputationMissing Elements | CodeCode Available | 1 | 5 |
| FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities | Oct 30, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 1 | 5 |
| Missing Data Imputation using Optimal Transport | Feb 10, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales | Aug 26, 2021 | Missing ValuesTime Series Analysis | CodeCode Available | 1 | 5 |
| Gaussian Processes for Missing Value Imputation | Apr 10, 2022 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Generative Imputation and Stochastic Prediction | May 22, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types | Feb 4, 2021 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Joint Demosaicing and Denoising With Self Guidance | Jun 1, 2020 | DemosaickingDenoising | CodeCode Available | 1 | 5 |
| Conditional expectation with regularization for missing data imputation | Feb 2, 2023 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| 2D Semantic-Guided Semantic Scene Completion | Sep 12, 2024 | 2D Semantic Segmentation3D Semantic Scene Completion | CodeCode Available | 1 | 5 |
| HyperImpute: Generalized Iterative Imputation with Automatic Model Selection | Jun 15, 2022 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Graph Convolutional Networks for Traffic Forecasting with Missing Values | Dec 13, 2022 | Graph LearningMissing Values | CodeCode Available | 1 | 5 |
| Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging | Apr 11, 2025 | AttributeComputational Efficiency | CodeCode Available | 1 | 5 |
| Missing Value Imputation on Multidimensional Time Series | Mar 2, 2021 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Identifiable Generative Models for Missing Not at Random Data Imputation | Oct 27, 2021 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction | May 28, 2025 | Missing ValuesSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| LExecutor: Learning-Guided Execution | Feb 5, 2023 | Missing Values | CodeCode Available | 1 | 5 |
| Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting | Jun 18, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Open Knowledge Enrichment for Long-tail Entities | Feb 15, 2020 | Missing Values | CodeCode Available | 1 | 5 |
| Mind the gap: an experimental evaluation of imputation of missing values techniques in time series | Jan 15, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Monash Time Series Forecasting Archive | May 14, 2021 | Missing ValuesTime Series | CodeCode Available | 1 | 5 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 | 5 |
| MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation | Aug 11, 2024 | DenoisingImputation | CodeCode Available | 1 | 5 |
| TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach | Feb 21, 2025 | Computational EfficiencyDeep Learning | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| C-XGBoost: A tree boosting model for causal effect estimation | Mar 31, 2024 | Causal InferenceMissing Values | 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 |
| Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets | Jul 16, 2024 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data | Nov 16, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| BIOT: Cross-data Biosignal Learning in the Wild | May 10, 2023 | EEGMissing Values | CodeCode Available | 1 | 5 |
| Data Imputation with Iterative Graph Reconstruction | Dec 6, 2022 | Data Imputation 70%Graph Generation | CodeCode Available | 1 | 5 |
| A user-driven case-based reasoning tool for infilling missing values in daily mean river flow records | Aug 1, 2006 | Dynamic Time WarpingManagement | CodeCode Available | 0 | 5 |
| Graph Markov Network for Traffic Forecasting with Missing Data | Dec 10, 2019 | Edge-computingImputation | CodeCode Available | 0 | 5 |
| GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies | Oct 13, 2022 | Missing Values | CodeCode Available | 0 | 5 |
| Attribute-Based Semantic Type Detection and Data Quality Assessment | Oct 4, 2024 | AttributeMissing Values | CodeCode Available | 0 | 5 |
| Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values | Jan 11, 2024 | Anomaly DetectionMissing Values | CodeCode Available | 0 | 5 |
| Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations | Apr 15, 2025 | ClusteringData Integration | CodeCode Available | 0 | 5 |
| Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting | May 6, 2024 | AstronomyIrregular Time Series | CodeCode Available | 0 | 5 |
| Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors | Nov 18, 2024 | Federated LearningMissing Values | CodeCode Available | 0 | 5 |
| Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales | Dec 24, 2024 | Graph structure learningImputation | CodeCode Available | 0 | 5 |
| A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers | Oct 14, 2024 | Causal Language ModelingLanguage Modeling | CodeCode Available | 0 | 5 |
| A-DARTS: Stable Model Selection for Data Repair in Time Series | May 1, 2025 | AutoMLImputation | CodeCode Available | 0 | 5 |
| A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets | Mar 11, 2021 | Bayesian InferenceMissing Values | CodeCode Available | 0 | 5 |
| fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser | Sep 26, 2020 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge | Jun 9, 2023 | Missing ValuesTime Series | CodeCode Available | 0 | 5 |
| A reproducible pipeline for extracting representative signals from wire cuts | May 17, 2024 | Missing Values | CodeCode Available | 0 | 5 |
| Causal Inference with Noisy and Missing Covariates via Matrix Factorization | Jun 3, 2018 | Causal InferenceMatrix Completion | CodeCode Available | 0 | 5 |
| A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data | Mar 3, 2021 | Bayesian InferenceImputation | CodeCode Available | 0 | 5 |
| Federated Survival Forests | Feb 6, 2023 | Federated LearningMissing Values | CodeCode Available | 0 | 5 |
