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seasonal-trend decomposition

9 papers

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Co-occurring keywords · papers mentioning both

time series forecasting (7) long-term forecasting (2) frequency domain (2) disentangled representation (2) representation learning (2) exponential smoothing (1) short-term forecasting (1) non-local seasonal filtering (1) interactive parallel attention (1) low-energy component (1)

Papers

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025 xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition AAAI 2025 Multi-Resolution Diffusion Models for Time Series Forecasting ICLR 2024 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024 InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting AAAI 2023 CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting ICLR 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022 Learning Latent Seasonal-Trend Representations for Time Series Forecasting NeurIPS 2022 RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series AAAI 2019