| Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement | Jan 8, 2023 | DenoisingDisentanglement | CodeCode Available | 2 | 5 |
| Frequency Adaptive Normalization For Non-stationary Time Series Forecasting | Sep 30, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| Frequency-domain MLPs are More Effective Learners in Time Series Forecasting | Nov 10, 2023 | Time SeriesTime Series Forecasting | 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 |
| Auto-Regressive Moving Diffusion Models for Time Series Forecasting | Dec 12, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting | Jun 4, 2024 | DecoderKolmogorov-Arnold Networks | CodeCode Available | 2 | 5 |
| Large Language Models Are Zero-Shot Time Series Forecasters | Oct 11, 2023 | ImputationTime Series | CodeCode Available | 2 | 5 |
| Fredformer: Frequency Debiased Transformer for Time Series Forecasting | Jun 13, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| 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 | 5 |
| Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift | Oct 13, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| Cross-Domain Pre-training with Language Models for Transferable Time Series Representations | Mar 19, 2024 | Language ModellingTime Series | CodeCode Available | 2 | 5 |
| A Survey on Time-Series Pre-Trained Models | May 18, 2023 | SurveyTime Series | CodeCode Available | 2 | 5 |
| LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection | Jul 1, 2016 | Anomaly DetectionDecoder | CodeCode Available | 2 | 5 |
| Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction | Sep 26, 2024 | MambaPrediction | CodeCode Available | 2 | 5 |
| Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting | Oct 31, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | Nov 10, 2023 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 | 5 |
| How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook | Mar 14, 2025 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| A Survey of Financial AI: Architectures, Advances and Open Challenges | Nov 1, 2024 | Decision MakingPortfolio Optimization | CodeCode Available | 2 | 5 |
| Financial Fine-tuning a Large Time Series Model | Dec 13, 2024 | Image GenerationPrediction | CodeCode Available | 2 | 5 |
| FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting | Jan 30, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model | May 3, 2024 | Decision MakingFew-Shot Learning | CodeCode Available | 2 | 5 |
| MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting | Dec 31, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 | 5 |
| MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection | Jan 10, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies | Oct 16, 2023 | Few-Shot LearningTime Series | CodeCode Available | 2 | 5 |
| Fin-GAN: forecasting and classifying financial time series via generative adversarial networks | Jan 31, 2024 | Generative Adversarial NetworkProbabilistic Time Series Forecasting | CodeCode Available | 2 | 5 |
