| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| Dynamic Sparse Network for Time Series Classification: Learning What to "see'' | Dec 19, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| DYNOTEARS: Structure Learning from Time-Series Data | Feb 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Non-Gaussian Gaussian Processes for Few-Shot Regression | Oct 26, 2021 | Few-Shot LearningGaussian Processes | CodeCode Available | 1 | 5 |
| Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series | Feb 7, 2024 | Prediction IntervalsTime Series | CodeCode Available | 1 | 5 |
| E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series | Feb 21, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| EarthPT: a time series foundation model for Earth Observation | Sep 13, 2023 | Earth ObservationTime Series | CodeCode Available | 1 | 5 |
| Forecasting with Deep Learning | Feb 17, 2023 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge | Sep 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast | May 13, 2025 | Knowledge DistillationTime Series | CodeCode Available | 1 | 5 |
