| Bayesian Learning of Latent Representations of Language Structures | Jun 1, 2019 | Missing ValuesRepresentation Learning | —Unverified | 0 |
| Imputing missing values with unsupervised random trees | Nov 15, 2019 | ImputationMissing Values | —Unverified | 0 |
| BERT Meets Relational DB: Contextual Representations of Relational Databases | Apr 30, 2021 | Missing ValuesRepresentation Learning | —Unverified | 0 |
| Generalized linear models with low rank effects for network data | May 18, 2017 | DenoisingMissing Values | —Unverified | 0 |
| GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation | Nov 24, 2023 | Graph AttentionImputation | —Unverified | 0 |
| Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model | Dec 19, 2023 | Causal DiscoveryMissing Values | —Unverified | 0 |
| IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks | Dec 23, 2020 | ImputationMissing Values | —Unverified | 0 |
| Data augmentation using diffusion models to enhance inverse Ising inference | Mar 13, 2025 | Data AugmentationMissing Values | —Unverified | 0 |
| IIT-GAN: Irregular and Intermittent Time-series Synthesis with Generative Adversarial Networks | Sep 29, 2021 | Missing ValuesTime Series | —Unverified | 0 |
| An approach to dealing with missing values in heterogeneous data using k-nearest neighbors | Aug 13, 2016 | Decision MakingImputation | —Unverified | 0 |
