| Deep Time Series Models: A Comprehensive Survey and Benchmark | Jul 18, 2024 | SurveyTime Series | CodeCode Available | 11 |
| Chronos: Learning the Language of Time Series | Mar 12, 2024 | Gaussian ProcessesLanguage Modeling | CodeCode Available | 7 |
| TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables | Feb 29, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 7 |
| Foundation Models for Time Series Analysis: A Tutorial and Survey | Mar 21, 2024 | SurveyTime Series | CodeCode Available | 7 |
| Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting | May 16, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 7 |
| Revisiting PCA for time series reduction in temporal dimension | Dec 27, 2024 | Computational EfficiencyDimensionality Reduction | CodeCode Available | 7 |
| iTransformer: Inverted Transformers Are Effective for Time Series Forecasting | Oct 10, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 6 |
| SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting | Aug 22, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 6 |
| AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting | Aug 10, 2023 | AutoMLPhilosophy | CodeCode Available | 6 |
| A decoder-only foundation model for time-series forecasting | Oct 14, 2023 | DecoderTime Series | CodeCode Available | 6 |
| TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis | Oct 5, 2022 | Action RecognitionAnomaly Detection | CodeCode Available | 6 |
| Noisereduce: Domain General Noise Reduction for Time Series Signals | Dec 19, 2024 | Time Series | CodeCode Available | 5 |
| BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models | May 23, 2025 | DiversityTime Series | CodeCode Available | 5 |
| On Neural Differential Equations | Feb 4, 2022 | Irregular Time SeriesSymbolic Regression | CodeCode Available | 5 |
| Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts | Oct 14, 2024 | Mixture-of-ExpertsTime Series | CodeCode Available | 5 |
| MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection | May 24, 2022 | Anomaly DetectionAutoML | CodeCode Available | 5 |
| TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting | May 23, 2024 | Future predictionTime Series | CodeCode Available | 5 |
| DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting | Dec 14, 2024 | Clusteringenergy management | CodeCode Available | 5 |
| TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | Mar 29, 2024 | BenchmarkingMultivariate Time Series Forecasting | CodeCode Available | 5 |
| Time-series attribution maps with regularized contrastive learning | Feb 17, 2025 | Contrastive LearningTime Series | CodeCode Available | 5 |
| TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis | Oct 21, 2024 | Anomaly DetectionImputation | CodeCode Available | 5 |
| A Time Series is Worth 64 Words: Long-term Forecasting with Transformers | Nov 27, 2022 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 5 |
| Long-term Forecasting with TiDE: Time-series Dense Encoder | Apr 17, 2023 | Anomaly DetectionDecoder | CodeCode Available | 5 |
| aeon: a Python toolkit for learning from time series | Jun 20, 2024 | Anomaly DetectionModel Selection | CodeCode Available | 5 |
| skfolio: Portfolio Optimization in Python | Jul 5, 2025 | ManagementPortfolio Optimization | CodeCode Available | 5 |
