| Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts | Oct 14, 2024 | Mixture-of-ExpertsTime Series | CodeCode Available | 5 |
| Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms | Jul 19, 2022 | Adversarial AttackMultivariate Time Series Forecasting | CodeCode Available | 5 |
| Time-series attribution maps with regularized contrastive learning | Feb 17, 2025 | Contrastive LearningTime Series | CodeCode Available | 5 |
| Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook | Oct 16, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 4 |
| Large Language Models for Time Series: A Survey | Feb 2, 2024 | QuantizationSurvey | CodeCode Available | 4 |
| UniTS: A Unified Multi-Task Time Series Model | Feb 29, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 |
| Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series | Jan 8, 2024 | CPUFew-Shot Learning | CodeCode Available | 4 |
| Transformers in Time Series: A Survey | Feb 15, 2022 | Anomaly DetectionSurvey | CodeCode Available | 4 |
| Zero-shot forecasting of chaotic systems | Sep 24, 2024 | AttributeIn-Context Learning | CodeCode Available | 4 |
| Timer-XL: Long-Context Transformers for Unified Time Series Forecasting | Oct 7, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 4 |
| Timer: Generative Pre-trained Transformers Are Large Time Series Models | Feb 4, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 |
| Time-LLM: Time Series Forecasting by Reprogramming Large Language Models | Oct 3, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 4 |
| Hierarchically Coherent Multivariate Mixture Networks | May 11, 2023 | Computational EfficiencyTime Series | CodeCode Available | 4 |
| Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts | Sep 24, 2024 | Computational EfficiencyMixture-of-Experts | CodeCode Available | 4 |
| A Survey on Diffusion Models for Time Series and Spatio-Temporal Data | Apr 29, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 |
| Sundial: A Family of Highly Capable Time Series Foundation Models | Feb 2, 2025 | Representation LearningTime Series | CodeCode Available | 4 |
| Efficient Automated Deep Learning for Time Series Forecasting | May 11, 2022 | AutoMLBayesian Optimization | CodeCode Available | 4 |
| Are Transformers Effective for Time Series Forecasting? | May 26, 2022 | Anomaly DetectionRelation Extraction | CodeCode Available | 4 |
| TimeGPT-1 | Oct 5, 2023 | Deep LearningTime Series | CodeCode Available | 4 |
| ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning | Dec 4, 2024 | AttributeTime Series | CodeCode Available | 3 |
| Meta-Transformer: A Unified Framework for Multimodal Learning | Jul 20, 2023 | Time Series | CodeCode Available | 3 |
| AER: Auto-Encoder with Regression for Time Series Anomaly Detection | Dec 27, 2022 | Anomaly DetectionBenchmarking | CodeCode Available | 3 |
| MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters | Oct 2, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 3 |
| Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective | May 22, 2024 | Data IntegrationSensitivity | CodeCode Available | 3 |
| AutoTimes: Autoregressive Time Series Forecasters via Large Language Models | Feb 4, 2024 | DecoderIn-Context Learning | CodeCode Available | 3 |
