| Automatically identifying ordinary differential equations from data | Apr 21, 2023 | Denoisingregression | CodeCode Available | 1 | 5 |
| TS2Vec: Towards Universal Representation of Time Series | Jun 19, 2021 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications | Jun 17, 2022 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 | 5 |
| Automatic Change-Point Detection in Time Series via Deep Learning | Nov 7, 2022 | Change Point DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks | Dec 1, 2019 | Sequential Image ClassificationTime Series | CodeCode Available | 1 | 5 |
| LETS Forecast: Learning Embedology for Time Series Forecasting | Jun 6, 2025 | Future predictionTime Series | CodeCode Available | 1 | 5 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting | Jun 4, 2024 | Dataset CondensationTime Series | CodeCode Available | 1 | 5 |
| LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version | Feb 24, 2023 | ClassificationDecision Making | CodeCode Available | 1 | 5 |
| How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series | Apr 23, 2020 | Anomaly DetectionRespiratory Failure | CodeCode Available | 1 | 5 |
