FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling

24 May 2024

Papers citing "FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling"

6 / 6 papers shown

Title
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting Yuang Zhao Tianyu Li Jiadong Chen Shenrong Ye Fuxin Jiang Tieying Zhang Xiaofeng Gao AI4TS 76 0 0 26 Nov 2024
An Analysis of Linear Time Series Forecasting Models William Toner Luke Darlow AI4TS 31 22 0 21 Mar 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 53 40 0 10 Nov 2023
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 109 165 0 18 May 2022
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 159 3,799 0 14 Dec 2020
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 190 12,781 0 07 Oct 2016