| Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking | Oct 31, 2024 | BenchmarkingImputation | CodeCode Available | 1 |
| Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation | May 16, 2024 | Graph Neural NetworkImputation | CodeCode Available | 1 |
| Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis | Aug 10, 2024 | DenoisingImputation | CodeCode Available | 1 |
| A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales | Aug 26, 2021 | Missing ValuesTime Series Analysis | CodeCode Available | 1 |
| PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks | May 9, 2025 | Irregular Time SeriesMissing Values | CodeCode Available | 1 |
| Quantified Sleep: Machine learning techniques for observational n-of-1 studies | May 14, 2021 | BIG-bench Machine LearningDescriptive | CodeCode Available | 1 |
| Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types | Feb 4, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines | Feb 9, 2023 | Missing Values | CodeCode Available | 1 |
| C-XGBoost: A tree boosting model for causal effect estimation | Mar 31, 2024 | Causal InferenceMissing Values | CodeCode Available | 1 |
| Selecting time-series hyperparameters with the artificial jackknife | Feb 11, 2020 | Missing ValuesTime Series | CodeCode Available | 1 |
| Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation | Feb 6, 2023 | Computational EfficiencyImputation | CodeCode Available | 1 |
| SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction | May 15, 2024 | ImputationMissing Values | CodeCode Available | 1 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 |
| Data Imputation with Iterative Graph Reconstruction | Dec 6, 2022 | Data Imputation 70%Graph Generation | CodeCode Available | 1 |
| Conditional expectation with regularization for missing data imputation | Feb 2, 2023 | ImputationMissing Values | CodeCode Available | 1 |
| 2D Semantic-Guided Semantic Scene Completion | Sep 12, 2024 | 2D Semantic Segmentation3D Semantic Scene Completion | CodeCode Available | 1 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 |
| Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection | Feb 15, 2022 | Anomaly DetectionMissing Values | CodeCode Available | 1 |
| Diffusion models for missing value imputation in tabular data | Oct 31, 2022 | ImputationMissing Values | CodeCode Available | 1 |
| BIOT: Cross-data Biosignal Learning in the Wild | May 10, 2023 | EEGMissing Values | CodeCode Available | 1 |
| FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities | Oct 30, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 1 |
| Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions | Mar 4, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| 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 |
| Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix Factorization | Mar 20, 2022 | Missing ValuesMultivariate Time Series Forecasting | CodeCode Available | 1 |
