Awesome-Time-Series-Papers 🥰 Some Awesome Time Series Papers for Time Series Analysis.
Time Series Deep Learning Models Title Paper Code Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting [paper] [code] Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting [paper] [code] Pyraformer: Low-complexity Pyramidal Attention for Long-range Time Series Modeling and Forecasting [paper] [code] FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting [paper] [code] Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting [paper] [code] ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution [paper] [code] Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures [paper] [code] FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting [paper] [code] Long-term Forecasting with TiDE: Time-series Dense Encoder [paper] [code] A Time Series is Worth 64 Words: Long-term Forecasting with Transformers [paper] [code] Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting [paper] [code] Are Transformers Effective for Time Series Forecasting? [paper] [code] TSMixer: An All-MLP Architecture for Time Series Forecasting [paper] [code] iTransformer: Inverted Transformers Are Effective for Time Series Forecasting [paper] [code] TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting [paper] [code] SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention [paper] [code] TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables [paper] [code]
Time Series Multi-Task Model Title Paper Code TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis [paper] [code] One Fits All:Power General Time Series Analysis by Pretrained LM [paper] [code] Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis [paper] [code] UniTS: A Unified Multi-Task Time Series Model [paper] [code] Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation [paper] [code]
Large Language Models for Time Series Analysis Title Paper Code One Fits All:Power General Time Series Analysis by Pretrained LM [paper] [code] Time-LLM: Time Series Forecasting by Reprogramming Large Language Models [paper] [code] S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting [paper] [code] A decoder-only foundation model for time-series forecasting [paper] [code]
Large Time Series Foundation Models Title Paper Code TimeGPT-1 [paper] [code] Chronos: Learning the Language of Time Series [paper] [code] Unified Training of Universal Time Series Forecasting Transformers [paper] [code] Timer: Generative Pre-trained Transformers Are Large Time Series Models [paper] [code] MOMENT: A Family of Open Time-series Foundation Models [paper] [code] Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts [paper] [code] VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters [paper] [code] Towards Neural Scaling Laws for Time Series Foundation Models [paper] [code] Sundial: A Family of Highly Capable Time Series Foundation Models [paper] [code]