| Monash Time Series Forecasting Archive | May 14, 2021 | Missing ValuesTime Series | CodeCode Available | 1 | 5 |
| Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network | Jun 19, 2024 | Cloud RemovalImputation | CodeCode Available | 1 | 5 |
| Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks | Jul 31, 2021 | Graph Neural NetworkImputation | 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 |
| C-XGBoost: A tree boosting model for causal effect estimation | Mar 31, 2024 | Causal InferenceMissing Values | 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 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Diffusion models for missing value imputation in tabular data | Oct 31, 2022 | ImputationMissing Values | 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 |
| A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales | Aug 26, 2021 | Missing ValuesTime Series Analysis | 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 |
| Electricity Theft Detection with self-attention | Feb 14, 2020 | Missing ValuesPosition | CodeCode Available | 1 | 5 |
| Estimating conditional density of missing values using deep Gaussian mixture model | Oct 5, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection | Feb 15, 2022 | Anomaly DetectionMissing Values | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| Generative Imputation and Stochastic Prediction | May 22, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| BIOT: Cross-data Biosignal Learning in the Wild | May 10, 2023 | EEGMissing Values | CodeCode Available | 1 | 5 |
| HyperImpute: Generalized Iterative Imputation with Automatic Model Selection | Jun 15, 2022 | 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 |
| Joint Demosaicing and Denoising With Self Guidance | Jun 1, 2020 | DemosaickingDenoising | 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 |
| RADAR: Benchmarking Language Models on Imperfect Tabular Data | Jun 9, 2025 | BenchmarkingMissing Values | CodeCode Available | 1 | 5 |
| Conditional expectation with regularization for missing data imputation | Feb 2, 2023 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 | 5 |
| 2D Semantic-Guided Semantic Scene Completion | Sep 12, 2024 | 2D Semantic Segmentation3D Semantic Scene Completion | CodeCode Available | 1 | 5 |
