Parsimony or Capability? Decomposition Delivers Both in Long-term Time
Series Forecasting

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting

22 January 2024

Ivor W. Tsang

Papers citing "Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting"

6 / 6 papers shown

Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Yiming Niu Jinliang Deng L. Zhang Zimu Zhou Yongxin Tong AI4TS 21 0 0 09 May 2025
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters Shengsheng Lin Weiwei Lin Wentai Wu Haojun Chen Junjie Yang 24 35 0 02 May 2024
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen Kan Ren Yansen Wang Yuchen Fang Weiwei Sun Dongsheng Li AI4TS 63 26 0 16 Feb 2024
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 56 120 0 10 Nov 2023
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,404 0 04 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 164 3,799 0 14 Dec 2020