| 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 | 5 |
| Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting | May 22, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| An Analysis of Linear Time Series Forecasting Models | Mar 21, 2024 | Formregression | CodeCode Available | 1 | 5 |
| Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting | Jun 28, 2022 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals | Jul 31, 2023 | Blood pressure estimationHypertension detection | CodeCode Available | 1 | 5 |
| Learning Time Series Counterfactuals via Latent Space Representations | Oct 11, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 | 5 |
| Compatible Transformer for Irregularly Sampled Multivariate Time Series | Oct 17, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Learning to Embed Time Series Patches Independently | Dec 27, 2023 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 | 5 |
| Bilinear Input Normalization for Neural Networks in Financial Forecasting | Sep 1, 2021 | Time SeriesTime Series Analysis | 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 |
| Automatically identifying ordinary differential equations from data | Apr 21, 2023 | Denoisingregression | CodeCode Available | 1 | 5 |
| Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers | May 22, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Conditional GAN for timeseries generation | Jun 30, 2020 | Generative Adversarial NetworkTime Series | 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 |
| LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version | Feb 24, 2023 | ClassificationDecision Making | CodeCode Available | 1 | 5 |
| Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge | Jan 24, 2023 | GPUimage-classification | 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 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data | Sep 12, 2020 | DenoisingDiversity | CodeCode Available | 1 | 5 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Local Evaluation of Time Series Anomaly Detection Algorithms | Jun 27, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Time series forecasting with Gaussian Processes needs priors | Sep 17, 2020 | Gaussian ProcessesTime Series | CodeCode Available | 1 | 5 |
| Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference | Feb 28, 2024 | MambaTime Series | CodeCode Available | 1 | 5 |
| On the difficulty of learning chaotic dynamics with RNNs | Oct 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
