| AR-Net: A simple Auto-Regressive Neural Network for time-series | Nov 27, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors | May 30, 2023 | Time Series | CodeCode Available | 2 |
| How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook | Mar 14, 2025 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| One Fits All:Power General Time Series Analysis by Pretrained LM | Feb 23, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 2 |
| Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting | Jun 18, 2022 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 |
| PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting | Aug 20, 2024 | Multivariate Time Series ForecastingTemporal Sequences | CodeCode Available | 2 |
| Are Self-Attentions Effective for Time Series Forecasting? | May 27, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching | Oct 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Quantized symbolic time series approximation | Nov 20, 2024 | Anomaly DetectionAstronomy | CodeCode Available | 2 |
| A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting | Jun 4, 2024 | DecoderKolmogorov-Arnold Networks | CodeCode Available | 2 |
| Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows | Feb 14, 2020 | Decision MakingMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Harnessing Vision Models for Time Series Analysis: A Survey | Feb 13, 2025 | SurveyTime Series | CodeCode Available | 2 |
| Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling | Feb 20, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing | May 18, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting | May 17, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Satellite Image Time Series Analysis for Big Earth Observation Data | Apr 24, 2022 | BIG-bench Machine LearningCloud Computing | CodeCode Available | 2 |
| Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift | Jul 10, 2024 | Change DetectionDisaster Response | CodeCode Available | 2 |
| Self-Supervised Contrastive Learning for Long-term Forecasting | Feb 3, 2024 | Contrastive LearningTime Series | CodeCode Available | 2 |
| Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency | Jun 17, 2022 | Activity RecognitionDomain Adaptation | CodeCode Available | 2 |
| Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects | Jun 16, 2023 | Anomaly DetectionSelf-Supervised Learning | CodeCode Available | 2 |
| Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting | Jun 6, 2024 | Computational EfficiencyData Integration | CodeCode Available | 2 |
| From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection | Sep 26, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements | Oct 14, 2024 | State EstimationTime Series | CodeCode Available | 2 |
| Frequency Adaptive Normalization For Non-stationary Time Series Forecasting | Sep 30, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Fredformer: Frequency Debiased Transformer for Time Series Forecasting | Jun 13, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Chimp: Efficient Lossless Floating Point Compression for Time Series Databases | Jul 1, 2022 | AstronomyTime Series | CodeCode Available | 2 |
| Frequency-domain MLPs are More Effective Learners in Time Series Forecasting | Nov 10, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement | Jan 8, 2023 | DenoisingDisentanglement | CodeCode Available | 2 |
| Class-incremental Learning for Time Series: Benchmark and Evaluation | Feb 19, 2024 | Activity RecognitionBenchmarking | CodeCode Available | 2 |
| TAB: Unified Benchmarking of Time Series Anomaly Detection Methods | Jun 22, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 2 |
| CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning | Mar 12, 2024 | Knowledge DistillationMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Flowformer: Linearizing Transformers with Conservation Flows | Feb 13, 2022 | D4RLOffline RL | CodeCode Available | 2 |
| FITS: Modeling Time Series with 10k Parameters | Jul 6, 2023 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Fin-GAN: forecasting and classifying financial time series via generative adversarial networks | Jan 31, 2024 | Generative Adversarial NetworkProbabilistic Time Series Forecasting | CodeCode Available | 2 |
| Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt | Mar 22, 2024 | Data AugmentationTime Series | CodeCode Available | 2 |
| FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting | Feb 26, 2025 | Model SelectionTime Series | CodeCode Available | 2 |
| Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies | Oct 16, 2023 | Few-Shot LearningTime Series | CodeCode Available | 2 |
| An End-to-End Structure with Novel Position Mechanism and Improved EMD for Stock Forecasting | Mar 25, 2024 | PositionTime Series | CodeCode Available | 2 |
| FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting | Jan 30, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Financial Fine-tuning a Large Time Series Model | Dec 13, 2024 | Image GenerationPrediction | CodeCode Available | 2 |
| FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | Nov 10, 2023 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Conformal prediction interval for dynamic time-series | Oct 18, 2020 | Conformal PredictionEnsemble Learning | CodeCode Available | 2 |
| HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python | Jul 7, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 2 |
| 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 |
| Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting | Jun 29, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation | May 4, 2025 | Knowledge DistillationMultivariate Time Series Forecasting | CodeCode Available | 2 |
| ETSformer: Exponential Smoothing Transformers for Time-series Forecasting | Feb 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| dtaianomaly: A Python library for time series anomaly detection | Feb 20, 2025 | Anomaly DetectionTime Series | CodeCode Available | 2 |