| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| An Analysis of Linear Time Series Forecasting Models | Mar 21, 2024 | Formregression | CodeCode Available | 1 |
| Parameter Efficient Deep Probabilistic Forecasting | Dec 6, 2021 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 1 |
| Parameter Inference with Bifurcation Diagrams | Jun 8, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis | Aug 5, 2024 | ClassificationEEG | CodeCode Available | 1 |
| An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting | Oct 16, 2020 | Meta-Learningregression | CodeCode Available | 1 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 |
| Path Development Network with Finite-dimensional Lie Group Representation | Apr 2, 2022 | Dimensionality ReductionIrregular Time Series | CodeCode Available | 1 |
| Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets | Sep 28, 2021 | ClassificationTime Series | CodeCode Available | 1 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
