| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| Parametric Augmentation for Time Series Contrastive Learning | Feb 16, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Contrastive Learning for Unsupervised Domain Adaptation of Time Series | Jun 13, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Contrastive Neural Processes for Self-Supervised Learning | Oct 24, 2021 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 |
| Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Jan 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction | Mar 31, 2020 | Spatio-Temporal ForecastingTime Series | CodeCode Available | 1 |
| Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis | Nov 7, 2024 | Anomaly DetectionClassification | CodeCode Available | 1 |
| Contrastive Difference Predictive Coding | Oct 31, 2023 | Representation LearningTime Series | CodeCode Available | 1 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations | Jun 16, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems | Dec 9, 2024 | BenchmarkingPrediction | CodeCode Available | 1 |
| An Analysis of Linear Time Series Forecasting Models | Mar 21, 2024 | Formregression | CodeCode Available | 1 |
| Precursor-of-Anomaly Detection for Irregular Time Series | Jun 27, 2023 | Anomaly DetectionIrregular Time Series | CodeCode Available | 1 |
| Predicting human decision making in psychological tasks with recurrent neural networks | Oct 22, 2020 | Decision MakingTime Series | CodeCode Available | 1 |
| Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting Approach | Jun 11, 2023 | regressionTime Series | 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 Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification | Apr 16, 2021 | Binary ClassificationGeneral Classification | CodeCode Available | 1 |
| Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration | Jun 25, 2024 | Change DetectionMulti-Task Learning | CodeCode Available | 1 |
| Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality | Aug 2, 2020 | Generalization BoundsTime Series | CodeCode Available | 1 |
| Convolutional Radio Modulation Recognition Networks | Feb 12, 2016 | General ClassificationTime Series | CodeCode Available | 1 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Probabilistic Numeric Convolutional Neural Networks | Oct 21, 2020 | Gaussian ProcessesMissing Values | CodeCode Available | 1 |
| Detection of gravitational-wave signals from binary neutron star mergers using machine learning | Jun 2, 2020 | BIG-bench Machine LearningSensitivity | CodeCode Available | 1 |
