Revitalizing Multivariate Time Series Forecasting: Learnable
Decomposition with Inter-Series Dependencies and Intra-Series Variations
Modeling

Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling

20 February 2024

Angelica I. Aviles-Rivero

Papers citing "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling"

6 / 6 papers shown

Title
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain Wenzhen Yue Y. Liu Haoxuan Li Hao Wang Xianghua Ying Ruohao Guo Bowei Xing Ji Shi AI4TS OOD 31 0 0 12 May 2025
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting Guoqi Yu Yaoming Li Xiaoyu Guo Dayu Wang Zirui Liu Shujun Wang Tong Yang AI4TS 127 0 0 22 Oct 2024
Automated Detection of Defects on Metal Surfaces using Vision Transformers Toqa Alaa Mostafa Kotb Arwa Zakaria Mariam Diab Walid Gomaa 23 1 0 06 Oct 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 61 123 0 10 Nov 2023
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures T. Zhang Yizhuo Zhang Wei Cao Jiang Bian Xiaohan Yi Shun Zheng Jian Li BDL AI4TS 95 153 0 04 Jul 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Tian Zhou Ziqing Ma Xue Wang Qingsong Wen Liang Sun Tao Yao Wotao Yin Rong Jin AI4TS 121 170 0 18 May 2022