| S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting | Mar 9, 2024 | Prompt LearningTime Series | CodeCode Available | 2 |
| MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process | Mar 9, 2024 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 2 |
| Trainable Fractional Fourier Transform | Mar 4, 2024 | image-classificationImage Classification | CodeCode Available | 2 |
| Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data | Feb 22, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 2 |
| Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling | Feb 20, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| Class-incremental Learning for Time Series: Benchmark and Evaluation | Feb 19, 2024 | Activity RecognitionBenchmarking | CodeCode Available | 2 |
| TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models | Feb 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention | Feb 15, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Time Series Diffusion in the Frequency Domain | Feb 8, 2024 | DenoisingInductive Bias | CodeCode Available | 2 |
| Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning | Feb 7, 2024 | Contrastive LearningPrediction | CodeCode Available | 2 |
