| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 | 5 |
| Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs | Oct 4, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| Neural Rough Differential Equations for Long Time Series | Sep 17, 2020 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| Non-adversarial training of Neural SDEs with signature kernel scores | May 25, 2023 | Irregular Time SeriesTime Series Generation | CodeCode Available | 1 | 5 |
| Modeling Irregular Time Series with Continuous Recurrent Units | Nov 22, 2021 | DecoderIrregular Time Series | CodeCode Available | 1 | 5 |
| PrimeNet: Pre-Training for Irregular Multivariate Time Series | Jun 26, 2023 | Contrastive LearningIrregular Time Series | CodeCode Available | 1 | 5 |
| Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting | Sep 4, 2021 | Irregular Time SeriesRepresentation Learning | CodeCode Available | 1 | 5 |
| DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis | Jan 10, 2024 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling | Feb 16, 2024 | Inductive BiasIrregular Time Series | CodeCode Available | 0 | 5 |
| Learnable Path in Neural Controlled Differential Equations | Jan 11, 2023 | DecoderIrregular Time Series | CodeCode Available | 0 | 5 |
