| Identifiable Generative Models for Missing Not at Random Data Imputation | Oct 27, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| MisConv: Convolutional Neural Networks for Missing Data | Oct 26, 2021 | Image InpaintingImputation | CodeCode Available | 1 |
| Reconstructing occluded Elevation Information in Terrain Maps with Self-supervised Learning | Sep 15, 2021 | CPUGPU | 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 |
| Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks | Jul 31, 2021 | Graph Neural NetworkImputation | CodeCode Available | 1 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 |
| Quantified Sleep: Machine learning techniques for observational n-of-1 studies | May 14, 2021 | BIG-bench Machine LearningDescriptive | CodeCode Available | 1 |
| Monash Time Series Forecasting Archive | May 14, 2021 | Missing ValuesTime Series | 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 |
| Missing Value Imputation on Multidimensional Time Series | Mar 2, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers | Feb 16, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types | Feb 4, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| Unsupervised Anomaly Detection by Robust Collaborative Autoencoders | Jan 1, 2021 | Anomaly DetectionMissing Values | CodeCode Available | 1 |
| PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data | Nov 16, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| Probabilistic Numeric Convolutional Neural Networks | Oct 21, 2020 | Gaussian ProcessesMissing Values | CodeCode Available | 1 |
| Estimating conditional density of missing values using deep Gaussian mixture model | Oct 5, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks | Sep 18, 2020 | ImputationMissing Elements | CodeCode Available | 1 |
| Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data | Jul 7, 2020 | ClusteringData Visualization | CodeCode Available | 1 |
| not-MIWAE: Deep Generative Modelling with Missing not at Random Data | Jun 23, 2020 | Missing ValuesVariational Inference | CodeCode Available | 1 |
| Monash University, UEA, UCR Time Series Extrinsic Regression Archive | Jun 19, 2020 | BenchmarkingMissing Values | CodeCode Available | 1 |
| Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula | Jun 18, 2020 | ImputationMatrix Completion | CodeCode Available | 1 |
| Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting | Jun 18, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| Joint Demosaicing and Denoising With Self Guidance | Jun 1, 2020 | DemosaickingDenoising | CodeCode Available | 1 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| Open Knowledge Enrichment for Long-tail Entities | Feb 15, 2020 | Missing Values | CodeCode Available | 1 |
