| Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting | Nov 26, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series | Nov 25, 2024 | Time Series | CodeCode Available | 1 |
| TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models | Nov 24, 2024 | Problem DecompositionTime Series | CodeCode Available | 1 |
| TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection | Nov 18, 2024 | Anomaly DetectionLarge Language Model | CodeCode Available | 1 |
| FM-TS: Flow Matching for Time Series Generation | Nov 12, 2024 | BenchmarkingImputation | CodeCode Available | 1 |
| Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data | Nov 11, 2024 | Time Series | CodeCode Available | 1 |
| Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis | Nov 7, 2024 | Anomaly DetectionClassification | CodeCode Available | 1 |
| Time-Causal VAE: Robust Financial Time Series Generator | Nov 5, 2024 | DecoderStochastic Optimization | CodeCode Available | 1 |
| Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification | Nov 1, 2024 | QuantizationRepresentation Learning | CodeCode Available | 1 |
| KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks | Nov 1, 2024 | Anomaly DetectionKolmogorov-Arnold Networks | CodeCode Available | 1 |
