Mixture-of-Linear-Experts for Long-term Time Series Forecasting

11 December 2023

Papers citing "Mixture-of-Linear-Experts for Long-term Time Series Forecasting"

8 / 8 papers shown

Title
FT-MoE: Sustainable-learning Mixture of Experts Model for Fault-Tolerant Computing with Multiple Tasks Wenjing Xiao Wenhao Song Miaojiang Chen Ruikun Luo Min Chen MoE 49 0 0 29 Apr 2025
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 85 0 0 26 Nov 2024
LSEAttention is All You Need for Time Series Forecasting Dizhen Liang AI4TS 27 0 0 31 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 34 24 0 24 Sep 2024
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 95 145 0 04 Jul 2022
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting Tian Zhou Jianqing Zhu Xue Wang Ziqing Ma Qingsong Wen Liang Sun Rong Jin AI4TS 36 4 0 24 Jun 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 164 3,799 0 14 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016