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

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"

10 / 10 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 395 0 0 26 Nov 2024
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model Weiqi Zhang Jiexia Ye Ke Yi Yongzi Yu Ziyue Li Jia Li Fugee Tsung AI4TS AI4CE 67 24 0 03 May 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 75 145 0 10 Nov 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 58 112 0 30 May 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 110 756 0 05 Oct 2022
Implicit Sparse Regularization: The Impact of Depth and Early Stopping Jiangyuan Li Thanh V. Nguyen Chinmay Hegde R. K. Wong 36 29 0 12 Aug 2021
Learning in the Frequency Domain Kai Xu Minghai Qin Fei Sun Yuhao Wang Yen-kuang Chen Fengbo Ren 86 401 0 27 Feb 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan O. Arik Nicolas Loeff Tomas Pfister AI4TS 102 1,433 0 19 Dec 2019
The Implicit Bias of Depth: How Incremental Learning Drives Generalization Daniel Gissin Shai Shalev-Shwartz Amit Daniely AI4CE 56 80 0 26 Sep 2019
Kernel and Rich Regimes in Overparametrized Models Blake E. Woodworth Suriya Gunasekar Pedro H. P. Savarese E. Moroshko Itay Golan Jason D. Lee Daniel Soudry Nathan Srebro 71 358 0 13 Jun 2019