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]