| Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms | Jul 19, 2022 | Adversarial AttackMultivariate Time Series Forecasting | CodeCode Available | 5 |
| MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection | May 24, 2022 | Anomaly DetectionAutoML | CodeCode Available | 5 |
| On Neural Differential Equations | Feb 4, 2022 | Irregular Time SeriesSymbolic Regression | CodeCode Available | 5 |
| Sundial: A Family of Highly Capable Time Series Foundation Models | Feb 2, 2025 | Representation LearningTime Series | CodeCode Available | 4 |
| Timer-XL: Long-Context Transformers for Unified Time Series Forecasting | Oct 7, 2024 | Time SeriesTime Series Forecasting | 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 |
| Zero-shot forecasting of chaotic systems | Sep 24, 2024 | AttributeIn-Context Learning | CodeCode Available | 4 |
| A Survey on Diffusion Models for Time Series and Spatio-Temporal Data | Apr 29, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 |
| UniTS: A Unified Multi-Task Time Series Model | Feb 29, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 |
| Timer: Generative Pre-trained Transformers Are Large Time Series Models | Feb 4, 2024 | Anomaly DetectionImputation | CodeCode Available | 4 |
| Large Language Models for Time Series: A Survey | Feb 2, 2024 | QuantizationSurvey | 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 |
| Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook | Oct 16, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 4 |
| TimeGPT-1 | Oct 5, 2023 | Deep LearningTime Series | 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 |
| Are Transformers Effective for Time Series Forecasting? | May 26, 2022 | Anomaly DetectionRelation Extraction | CodeCode Available | 4 |
| Efficient Automated Deep Learning for Time Series Forecasting | May 11, 2022 | AutoMLBayesian Optimization | CodeCode Available | 4 |
| Transformers in Time Series: A Survey | Feb 15, 2022 | Anomaly DetectionSurvey | CodeCode Available | 4 |
| TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning | May 29, 2025 | In-Context LearningState Space Models | CodeCode Available | 3 |
| This Time is Different: An Observability Perspective on Time Series Foundation Models | May 20, 2025 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 3 |
| OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain | May 12, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 3 |
| GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images | Mar 8, 2025 | cross-modal alignmentDiagnostic | CodeCode Available | 3 |
| BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction | Feb 26, 2025 | BenchmarkingTime Series | CodeCode Available | 3 |
| Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting | Jan 28, 2025 | SpecificityTime Series | CodeCode Available | 3 |
