| 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 |
| Latent ODEs for Irregularly-Sampled Time Series | Jul 8, 2019 | Multivariate Time Series ForecastingMultivariate Time Series Imputation | CodeCode Available | 1 |
| A convolution recurrent autoencoder for spatio-temporal missing data imputation | Apr 29, 2019 | ImputationMultivariate Time Series Imputation | —Unverified | 0 |
| ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs | Feb 27, 2019 | Clustering Multivariate Time SeriesMultivariate Time Series Imputation | CodeCode Available | 1 |
| NAOMI: Non-Autoregressive Multiresolution Sequence Imputation | Jan 30, 2019 | Imitation LearningImputation | CodeCode Available | 1 |
| Multivariate Time Series Imputation with Generative Adversarial Networks | Dec 1, 2018 | Image GenerationImputation | —Unverified | 0 |
| Neural Ordinary Differential Equations | Jun 19, 2018 | Multivariate Time Series ForecastingMultivariate Time Series Imputation | CodeCode Available | 3 |
| GAIN: Missing Data Imputation using Generative Adversarial Nets | Jun 7, 2018 | ImputationMultivariate Time Series Imputation | CodeCode Available | 1 |
| BRITS: Bidirectional Recurrent Imputation for Time Series | May 27, 2018 | General ClassificationImputation | CodeCode Available | 0 |
