| Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation | May 21, 2024 | ImputationMultivariate Time Series Imputation | —Unverified | 0 |
| SAITS: Self-Attention-based Imputation for Time Series | Feb 17, 2022 | ImputationMissing Values | CodeCode Available | 0 |
| Generative Semi-supervised Learning for Multivariate Time Series Imputation | May 18, 2021 | Generative Adversarial NetworkImputation | CodeCode Available | 0 |
| ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams | Nov 1, 2020 | ImputationMultivariate Time Series Imputation | CodeCode Available | 0 |
| Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models | Oct 16, 2019 | Deep LearningDimensionality Reduction | —Unverified | 0 |
| Probabilistic sequential matrix factorization | Oct 9, 2019 | ImputationMultivariate Time Series Forecasting | CodeCode Available | 0 |
| E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation | Aug 10, 2019 | Generative Adversarial NetworkImputation | —Unverified | 0 |
| GP-VAE: Deep Probabilistic Time Series Imputation | Jul 9, 2019 | Deep LearningDimensionality Reduction | CodeCode Available | 0 |
| A convolution recurrent autoencoder for spatio-temporal missing data imputation | Apr 29, 2019 | ImputationMultivariate Time Series Imputation | —Unverified | 0 |
| Multivariate Time Series Imputation with Generative Adversarial Networks | Dec 1, 2018 | Image GenerationImputation | —Unverified | 0 |
