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• Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
  2021 · 1326 citations
• TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
  2022 · 436 citations
• iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
  2023 · 369 citations
• Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
  2022 · 263 citations
• TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
  2024 · 60 citations
• Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
  2023 · 38 citations
• SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
  2023 · 30 citations
• Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
  2018 · 22 citations
• AutoTimes: Autoregressive Time Series Forecasters via Large Language Models