| A nonparametric HMM for genetic imputation and coalescent inference | Nov 2, 2016 | Imputation | —Unverified | 0 |
| Impact of Missing Values in Machine Learning: A Comprehensive Analysis | Oct 10, 2024 | ImputationMissing Values | —Unverified | 0 |
| GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data | Jun 1, 2020 | Generative Adversarial NetworkImputation | —Unverified | 0 |
| GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks | Jan 31, 2023 | DisentanglementImputation | —Unverified | 0 |
| GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation | Nov 24, 2023 | Graph AttentionImputation | —Unverified | 0 |
| Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation | Apr 8, 2022 | Imputation | —Unverified | 0 |
| Diffusion Models for Time Series Applications: A Survey | May 1, 2023 | ImputationSurvey | —Unverified | 0 |
| Gaussian process imputation of multiple financial series | Feb 11, 2020 | ImputationTime Series | —Unverified | 0 |
| GEDI: A Graph-based End-to-end Data Imputation Framework | Aug 13, 2022 | Graph structure learningImputation | —Unverified | 0 |
| Convolutional Bipartite Attractor Networks | Jun 8, 2019 | DenoisingImage Denoising | —Unverified | 0 |
| General Causal Imputation via Synthetic Interventions | Oct 28, 2024 | Imputation | —Unverified | 0 |
| Generalised learning of time-series: Ornstein-Uhlenbeck processes | Oct 21, 2019 | EconometricsImputation | —Unverified | 0 |
| Diffusion Models for Tabular Data Imputation and Synthetic Data Generation | Jul 2, 2024 | DecoderDenoising | —Unverified | 0 |
| Generalized Linear Models for Aggregated Data | May 14, 2016 | Imputation | —Unverified | 0 |
| Convolutional Neural Processes for Inpainting Satellite Images | May 24, 2022 | Image InpaintingImputation | —Unverified | 0 |
| General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data | Feb 5, 2025 | Anomaly DetectionImputation | —Unverified | 0 |
| A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation | Mar 23, 2020 | ImputationTraffic Data Imputation | —Unverified | 0 |
| Clustering-based Imputation for Dropout Buyers in Large-scale Online Experimentation | Sep 9, 2022 | ClusteringDecision Making | —Unverified | 0 |
| Generative Adversarial Classification Network with Application to Network Traffic Classification | Mar 19, 2023 | ClassificationImputation | —Unverified | 0 |
| Generative Adversarial Networks For Graph Data Imputation From Signed Observations | Nov 20, 2019 | Generative Adversarial NetworkImputation | —Unverified | 0 |
| Generative Adversarial Networks for Imputing Sparse Learning Performance | Jul 26, 2024 | Generative Adversarial NetworkImputation | —Unverified | 0 |
| Generative Adversarial Networks for Spatio-temporal Data: A Survey | Aug 18, 2020 | ImputationSurvey | —Unverified | 0 |
| Generative Forests | Aug 7, 2023 | Density EstimationImputation | —Unverified | 0 |
| A General Framework for Uncertainty Quantification via Neural SDE-RNN | Jun 1, 2023 | ImputationTime Series | —Unverified | 0 |
| Generative Partial Multi-View Clustering | Mar 29, 2020 | ClusteringImputation | —Unverified | 0 |
| Generative Semi-supervised Learning for Multivariate Time Series Imputation | May 18, 2021 | Generative Adversarial NetworkImputation | —Unverified | 0 |
| Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation | Jun 1, 2020 | Imitation LearningImputation | —Unverified | 0 |
| Generative Trees: Adversarial and Copycat | Jan 26, 2022 | Imputation | —Unverified | 0 |
| Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties | Dec 7, 2023 | Anomaly DetectionDenoising | —Unverified | 0 |
| Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach | Mar 30, 2020 | BIG-bench Machine LearningImputation | —Unverified | 0 |
| Driving Mechanisms and Forecasting of China's Pet Population-An ARIMA-RF-HW Hybrid Approach | May 16, 2025 | ImputationManagement | —Unverified | 0 |
| GIG: Graph Data Imputation With Graph Differential Dependencies | Oct 21, 2024 | ImputationMissing Values | —Unverified | 0 |
| Guided Motion Diffusion for Controllable Human Motion Synthesis | May 21, 2023 | DenoisingImputation | —Unverified | 0 |
| Gower's similarity coefficients with automatic weight selection | Jan 30, 2024 | ImputationMissing Values | —Unverified | 0 |
| Gradient Guided Hypotheses: A unified solution to enable machine learning models on scarce and noisy data regimes | May 29, 2024 | Imputation | —Unverified | 0 |
| CATE Estimation With Potential Outcome Imputation From Local Regression | Nov 7, 2023 | Contrastive Learningcounterfactual | —Unverified | 0 |
| Interpolation of Missing Swaption Volatility Data using Gibbs Sampling on Variational Autoencoders | Apr 21, 2022 | ImputationMissing Values | —Unverified | 0 |
| Diffusion-based Time Series Data Imputation for Microsoft 365 | Aug 3, 2023 | ImputationTime Series | —Unverified | 0 |
| Blood lactate concentration prediction in critical care patients: handling missing values | Oct 3, 2019 | Decision MakingImputation | —Unverified | 0 |
| Graph Neural Network approaches for single-cell data: A recent overview | Oct 14, 2023 | Data IntegrationDiversity | —Unverified | 0 |
| DiffPhase: Generative Diffusion-based STFT Phase Retrieval | Nov 8, 2022 | ImputationRetrieval | —Unverified | 0 |
| Ae^2I: A Double Autoencoder for Imputation of Missing Values | Jan 16, 2023 | ImputationMissing Values | —Unverified | 0 |
| Graph Signal Adaptive Message Passing | Oct 23, 2024 | Imputation | —Unverified | 0 |
| Covariance Decomposition for Distance Based Species Tree Estimation | Jun 19, 2025 | Imputation | —Unverified | 0 |
| IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks | Dec 23, 2020 | ImputationMissing Values | —Unverified | 0 |
| Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models | May 26, 2025 | counterfactualImputation | —Unverified | 0 |
| An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics | Nov 19, 2018 | Imputation | —Unverified | 0 |
| Handling missing data in Burundian sovereign bond market | Sep 29, 2023 | ImputationMissing Values | —Unverified | 0 |
| Handling missing data in model-based clustering | Jun 4, 2020 | ClusteringData Augmentation | —Unverified | 0 |
| Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction | May 10, 2023 | Dimensionality ReductionImputation | —Unverified | 0 |