| Iterative Neural Autoregressive Distribution Estimator (NADE-k) | Jun 5, 2014 | Density EstimationImage Generation | CodeCode Available | 0 |
| CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation | May 23, 2019 | ImputationMachine Translation | CodeCode Available | 0 |
| Explainability of Machine Learning Models under Missing Data | Jun 29, 2024 | Explainable artificial intelligenceFeature Importance | CodeCode Available | 0 |
| GP-VAE: Deep Probabilistic Time Series Imputation | Jul 9, 2019 | Deep LearningDimensionality Reduction | CodeCode Available | 0 |
| scVGAE: A Novel Approach using ZINB-Based Variational Graph Autoencoder for Single-Cell RNA-Seq Imputation | Mar 13, 2024 | Graph AttentionImputation | CodeCode Available | 0 |
| Benchmarking missing-values approaches for predictive models on health databases | Feb 17, 2022 | AttributeBenchmarking | CodeCode Available | 0 |
| Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method | Nov 24, 2020 | GPRImputation | CodeCode Available | 0 |
| Towards Progressive Multi-Frequency Representation for Image Warping | Jan 1, 2024 | Image Super-ResolutionMissing Values | CodeCode Available | 0 |
| Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data | Mar 23, 2023 | ClusteringImputation | CodeCode Available | 0 |
| Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanisms | Jun 10, 2023 | Missing Valuesvalid | CodeCode Available | 0 |
