| TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis | Oct 5, 2022 | Action RecognitionAnomaly Detection | CodeCode Available | 6 | 5 |
| Can Foundation Models Wrangle Your Data? | May 20, 2022 | Entity ResolutionImputation | CodeCode Available | 5 | 5 |
| TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis | Oct 21, 2024 | Anomaly DetectionImputation | CodeCode Available | 5 | 5 |
| A Survey on Diffusion Models for Time Series and Spatio-Temporal Data | Apr 29, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 | 5 |
| Timer: Generative Pre-trained Transformers Are Large Time Series Models | Feb 4, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 | 5 |
| UniTS: A Unified Multi-Task Time Series Model | Feb 29, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 | 5 |
| Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees | Sep 18, 2023 | GPUImputation | CodeCode Available | 4 | 5 |
| TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data | Jan 21, 2025 | FairnessImputation | CodeCode Available | 4 | 5 |
| Deep Learning for Multivariate Time Series Imputation: A Survey | Feb 6, 2024 | Deep LearningImputation | CodeCode Available | 3 | 5 |
| TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis | Feb 26, 2024 | Anomaly DetectionImputation | CodeCode Available | 3 | 5 |
| Deep Learning in Single-Cell Analysis | Oct 22, 2022 | Cell SegmentationDeep Learning | CodeCode Available | 3 | 5 |
| Diffusion-TS: Interpretable Diffusion for General Time Series Generation | Mar 4, 2024 | Audio SynthesisDecoder | CodeCode Available | 3 | 5 |
| TSI-Bench: Benchmarking Time Series Imputation | Jun 18, 2024 | BenchmarkingDeep Learning | CodeCode Available | 3 | 5 |
| Integrate Any Omics: Towards genome-wide data integration for patient stratification | Jan 15, 2024 | Data IntegrationDiversity | CodeCode Available | 2 | 5 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 | 5 |
| Russian Financial Statements Database: A firm-level collection of the universe of financial statements | Jan 10, 2025 | Imputation | CodeCode Available | 2 | 5 |
| A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection | Jul 7, 2023 | Anomaly DetectionImputation | CodeCode Available | 2 | 5 |
| Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask | May 9, 2024 | Anomaly DetectionImputation | CodeCode Available | 2 | 5 |
| BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects | Jun 26, 2025 | ImputationPromoter Detection | CodeCode Available | 2 | 5 |
| Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models | Aug 19, 2022 | ImputationMissing Values | CodeCode Available | 2 | 5 |
| Unsupervised Medical Image Translation with Adversarial Diffusion Models | Jul 17, 2022 | DiversityImage Generation | CodeCode Available | 2 | 5 |
| Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction | Mar 2, 2020 | ImputationMissing Values | CodeCode Available | 2 | 5 |
| TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation | Oct 27, 2024 | ImputationTabular Data Generation | CodeCode Available | 2 | 5 |
| Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting | Jul 21, 2023 | ImputationProbabilistic Time Series Forecasting | CodeCode Available | 2 | 5 |
| Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning | Jan 2, 2025 | ImputationRetrieval | CodeCode Available | 2 | 5 |
| JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs | Feb 17, 2025 | ImputationIn-Context Learning | CodeCode Available | 2 | 5 |
| Bayesian Temporal Factorization for Multidimensional Time Series Prediction | Oct 14, 2019 | ImputationMissing Values | CodeCode Available | 2 | 5 |
| Image Inpainting with Learnable Feature Imputation | Nov 2, 2020 | Image InpaintingImputation | CodeCode Available | 2 | 5 |
| Large Language Models Are Zero-Shot Time Series Forecasters | Oct 11, 2023 | ImputationTime Series | CodeCode Available | 2 | 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 |
| ACFlow: Flow Models for Arbitrary Conditional Likelihoods | Jan 1, 2020 | Imputation | CodeCode Available | 1 | 5 |
| GAIN: Missing Data Imputation using Generative Adversarial Nets | Jun 7, 2018 | ImputationMultivariate Time Series Imputation | 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 |
| AutoDebias: Learning to Debias for Recommendation | May 10, 2021 | ImputationMeta-Learning | 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 |
| Gaussian Processes for Missing Value Imputation | Apr 10, 2022 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Federated Foundation Models on Heterogeneous Time Series | Dec 12, 2024 | Anomaly DetectionFederated Learning | 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 |
| Flow Models for Arbitrary Conditional Likelihoods | Sep 13, 2019 | Image InpaintingImputation | CodeCode Available | 1 | 5 |
| A Unified Framework for Synthesizing Multisequence Brain MRI via Hybrid Fusion | Jun 21, 2024 | Imputation | 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 conditional density of missing values using deep Gaussian mixture model | Oct 5, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| FM-TS: Flow Matching for Time Series Generation | Nov 12, 2024 | BenchmarkingImputation | CodeCode Available | 1 | 5 |
| A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data | Oct 23, 2020 | Deep LearningImputation | CodeCode Available | 1 | 5 |
| Diffusion models for missing value imputation in tabular data | Oct 31, 2022 | 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 |
| 3D Human Body Reshaping with Anthropometric Modeling | Apr 5, 2021 | feature selectionImputation | CodeCode Available | 1 | 5 |
| DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data | Oct 30, 2024 | Decision MakingImputation | 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 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
