| Foundation Models for Generalist Geospatial Artificial Intelligence | Oct 28, 2023 | Earth ObservationImputation | CodeCode Available | 0 |
| From Abstract to Actionable: Pairwise Shapley Values for Explainable AI | Feb 18, 2025 | Drug DiscoveryFairness | CodeCode Available | 0 |
| Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles | Jun 5, 2024 | Data IntegrationImputation | CodeCode Available | 0 |
| Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction | Mar 28, 2024 | Graph Neural NetworkImputation | CodeCode Available | 0 |
| Generalized Least Squares Kernelized Tensor Factorization | Dec 9, 2024 | Image InpaintingImage Reconstruction | CodeCode Available | 0 |
| Generalized Simplicial Attention Neural Networks | Sep 5, 2023 | Graph ClassificationImputation | CodeCode Available | 0 |
| Generating Synthetic Data with Locally Estimated Distributions for Disclosure Control | Oct 3, 2022 | ClusteringHyperparameter Optimization | CodeCode Available | 0 |
| Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View | Mar 21, 2024 | Imputation | CodeCode Available | 0 |
| Geometry- and Accuracy-Preserving Random Forest Proximities | Jan 29, 2022 | Data VisualizationImputation | CodeCode Available | 0 |
| Ghost Imputation: Accurately Reconstructing Missing Data of the Off Period | May 3, 2020 | Imputation | CodeCode Available | 0 |
| GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets | Jun 6, 2023 | Imputation | CodeCode Available | 0 |
| Graph-Based Semi-Supervised Learning with Non-ignorable Non-response | Dec 1, 2019 | General ClassificationImputation | CodeCode Available | 0 |
| Graph Markov Network for Traffic Forecasting with Missing Data | Dec 10, 2019 | Edge-computingImputation | CodeCode Available | 0 |
| Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales | Dec 24, 2024 | Graph structure learningImputation | CodeCode Available | 0 |
| GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries | Nov 6, 2024 | ImputationSynthetic Data Generation | CodeCode Available | 0 |
| Handling Incomplete Heterogeneous Data using VAEs | Jul 10, 2018 | Imputation | CodeCode Available | 0 |
| Handling Missing Values in Local Post-hoc Explainability | Oct 21, 2023 | Decision MakingFeature Importance | CodeCode Available | 0 |
| Hard and Soft EM in Bayesian Network Learning from Incomplete Data | Dec 9, 2020 | Imputation | CodeCode Available | 0 |
| HeMIS: Hetero-Modal Image Segmentation | Jul 18, 2016 | Image SegmentationImputation | CodeCode Available | 0 |
| HexaGAN: Generative Adversarial Nets for Real World Classification | Feb 26, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model | Aug 13, 2019 | Active LearningBIG-bench Machine Learning | CodeCode Available | 0 |
| Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model | Dec 1, 2019 | BIG-bench Machine LearningImputation | CodeCode Available | 0 |
| Image Inpainting Using Wasserstein Generative Adversarial Imputation Network | Jun 23, 2021 | Image InpaintingImputation | CodeCode Available | 0 |
| Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers | Nov 1, 2022 | FairnessImputation | CodeCode Available | 0 |
| Improving Missing Data Imputation with Deep Generative Models | Feb 27, 2019 | ImputationMissing Values | CodeCode Available | 0 |
| Improving random walk rankings with feature selection and imputation | Nov 29, 2021 | feature selectionImputation | CodeCode Available | 0 |
| Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families | Mar 5, 2024 | Imputation | CodeCode Available | 0 |
| Imputation and low-rank estimation with Missing Not At Random data | Dec 29, 2018 | ImputationMatrix Completion | CodeCode Available | 0 |
| Gradient Importance Learning for Incomplete Observations | Jul 5, 2021 | ImputationMissing Values | CodeCode Available | 0 |
| Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness | Aug 13, 2022 | FairnessImputation | CodeCode Available | 0 |
| Imputation using training labels and classification via label imputation | Nov 28, 2023 | ClassificationImputation | CodeCode Available | 0 |
| Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series | Jan 14, 2024 | ImputationMemorization | CodeCode Available | 0 |
| imputeTS: Time Series Missing Value Imputation in R | Jun 1, 2017 | AttributeImputation | CodeCode Available | 0 |
| Imputing Brain Measurements Across Data Sets via Graph Neural Networks | Aug 19, 2023 | Graph Neural NetworkImputation | CodeCode Available | 0 |
| Imputing typological values via phylogenetic inference | Nov 1, 2020 | ImputationMissing Values | CodeCode Available | 0 |
| In-Database Data Imputation | Jan 7, 2024 | Decision MakingImputation | CodeCode Available | 0 |
| Influence-guided Data Augmentation for Neural Tensor Completion | Aug 23, 2021 | Data AugmentationImputation | CodeCode Available | 0 |
| Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForest | Apr 23, 2020 | Imputation | CodeCode Available | 0 |
| Input Convex Neural Networks | Sep 22, 2016 | ImputationInference Optimization | CodeCode Available | 0 |
| Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness | Jun 10, 2025 | Imputation | CodeCode Available | 0 |
| Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes | May 17, 2025 | Gaussian ProcessesImputation | CodeCode Available | 0 |
| Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology | Dec 12, 2023 | DiagnosticImputation | CodeCode Available | 0 |
| Interpretable Generalized Additive Models for Datasets with Missing Values | Dec 3, 2024 | Additive modelsImputation | CodeCode Available | 0 |
| Invariant debiasing learning for recommendation via biased imputation | Dec 28, 2024 | ImputationKnowledge Distillation | CodeCode Available | 0 |
| Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities | May 18, 2024 | Imputation | CodeCode Available | 0 |
| Knowledge Enhanced Conditional Imputation for Healthcare Time-series | Dec 27, 2023 | BenchmarkingImputation | CodeCode Available | 0 |
| Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding | Jan 27, 2023 | ImputationTraffic Data Imputation | CodeCode Available | 0 |
| Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data | Mar 7, 2015 | DiversityGaussian Processes | CodeCode Available | 0 |
| Unsupervised dynamic modeling of medical image transformation | Mar 1, 2021 | DenoisingDimensionality Reduction | CodeCode Available | 0 |
| Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation | Sep 13, 2024 | ImputationMultivariate Time Series Imputation | CodeCode Available | 0 |