| End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation | Dec 28, 2022 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 | 5 |
| Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study | Apr 10, 2024 | Representation LearningTime Series | CodeCode Available | 2 | 5 |
| Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators | May 23, 2024 | image-classificationImage Classification | CodeCode Available | 2 | 5 |
| DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | Jun 17, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 2 | 5 |
| A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting | Jun 4, 2024 | DecoderKolmogorov-Arnold Networks | CodeCode Available | 2 | 5 |
| DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | Apr 13, 2017 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 2 | 5 |
| Advancing Time Series Classification with Multimodal Language Modeling | Mar 19, 2024 | ClassificationLanguage Modeling | CodeCode Available | 2 | 5 |
| ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting | Apr 8, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt | Mar 22, 2024 | Data AugmentationTime Series | CodeCode Available | 2 | 5 |
| Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction | Apr 6, 2022 | PredictionStock Prediction | CodeCode Available | 2 | 5 |
