| 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 |
| Bayesian Temporal Factorization for Multidimensional Time Series Prediction | Oct 14, 2019 | ImputationMissing Values | CodeCode Available | 2 |
| Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models | Aug 19, 2022 | ImputationMissing Values | CodeCode Available | 2 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction | Mar 2, 2020 | ImputationMissing Values | CodeCode Available | 2 |
| Gaussian Processes for Missing Value Imputation | Apr 10, 2022 | Gaussian ProcessesImputation | CodeCode Available | 1 |
| RADAR: Benchmarking Language Models on Imperfect Tabular Data | Jun 9, 2025 | BenchmarkingMissing Values | CodeCode Available | 1 |
| Electricity Theft Detection with self-attention | Feb 14, 2020 | Missing ValuesPosition | CodeCode Available | 1 |
| Estimating conditional density of missing values using deep Gaussian mixture model | Oct 5, 2020 | ImputationMissing 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 |
| Forecasting Irregularly Sampled Time Series using Graphs | May 22, 2023 | AstronomyMissing 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 |
| Data Imputation with Iterative Graph Reconstruction | Dec 6, 2022 | Data Imputation 70%Graph Generation | CodeCode Available | 1 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 |
| C-XGBoost: A tree boosting model for causal effect estimation | Mar 31, 2024 | Causal InferenceMissing Values | CodeCode Available | 1 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | 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 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 |
| Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection | Feb 15, 2022 | Anomaly DetectionMissing Values | CodeCode Available | 1 |
| BIOT: Cross-data Biosignal Learning in the Wild | May 10, 2023 | EEGMissing Values | CodeCode Available | 1 |
| Diffusion models for missing value imputation in tabular data | Oct 31, 2022 | ImputationMissing Values | 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 |
