| TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second | Jul 5, 2022 | AutoMLBayesian Inference | CodeCode Available | 5 |
| Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees | Sep 18, 2023 | GPUImputation | CodeCode Available | 4 |
| Deep Learning for Multivariate Time Series Imputation: A Survey | Feb 6, 2024 | Deep LearningImputation | CodeCode Available | 3 |
| Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data | Feb 22, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 2 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models | Aug 19, 2022 | ImputationMissing Values | CodeCode Available | 2 |
| Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction | Mar 2, 2020 | ImputationMissing Values | CodeCode Available | 2 |
| Bayesian Temporal Factorization for Multidimensional Time Series Prediction | Oct 14, 2019 | ImputationMissing Values | CodeCode Available | 2 |
| RADAR: Benchmarking Language Models on Imperfect Tabular Data | Jun 9, 2025 | BenchmarkingMissing 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 |
| PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks | May 9, 2025 | Irregular Time SeriesMissing Values | CodeCode Available | 1 |
| Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging | Apr 11, 2025 | AttributeComputational Efficiency | CodeCode Available | 1 |
| tempdisagg: A Python Framework for Temporal Disaggregation of Time Series Data | Mar 28, 2025 | ImputationMissing Values | CodeCode Available | 1 |
| TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach | Feb 21, 2025 | Computational EfficiencyDeep Learning | CodeCode Available | 1 |
| On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing | Jan 4, 2025 | ChunkingImputation | CodeCode Available | 1 |
| Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data | Dec 29, 2024 | Dimensionality ReductionMissing Values | CodeCode Available | 1 |
| Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking | Oct 31, 2024 | BenchmarkingImputation | CodeCode Available | 1 |
| FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities | Oct 30, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 1 |
| 2D Semantic-Guided Semantic Scene Completion | Sep 12, 2024 | 2D Semantic Segmentation3D Semantic Scene Completion | CodeCode Available | 1 |
| MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation | Aug 11, 2024 | DenoisingImputation | CodeCode Available | 1 |
| Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis | Aug 10, 2024 | DenoisingImputation | CodeCode Available | 1 |
| Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets | Jul 16, 2024 | ImputationMissing Values | CodeCode Available | 1 |
| 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 |
| Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation | May 16, 2024 | Graph Neural NetworkImputation | CodeCode Available | 1 |
| SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction | May 15, 2024 | ImputationMissing Values | CodeCode Available | 1 |
