| Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting | May 30, 2025 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Adversarial Sparse Transformer for Time Series Forecasting | Dec 1, 2020 | Multivariate Time Series ForecastingPrediction | CodeCode Available | 1 | 5 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 | 5 |
| Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts | Sep 29, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Efficient implementations of echo state network cross-validation | Jun 19, 2020 | One-Shot LearningTime Series | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks | Apr 24, 2020 | Change Point DetectionDecoder | CodeCode Available | 1 | 5 |
| Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting | Dec 11, 2024 | Adversarial AttackTime Series | CodeCode Available | 1 | 5 |
| Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction | Nov 11, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
