ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.10721
  4. Cited By
Revisiting Long-term Time Series Forecasting: An Investigation on Linear
  Mapping

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

18 May 2023
Zhe Li
Shiyi Qi
Yiduo Li
Zenglin Xu
    AI4TS
ArXivPDFHTML

Papers citing "Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping"

16 / 16 papers shown
Title
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting
Shiwei Guo
Z. Chen
Yupeng Ma
Yunfei Han
Yi Wang
AI4TS
47
0
0
05 May 2025
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Yu-Hsiang Lan
Anton Alyakin
AI4TS
21
0
0
01 May 2025
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
Robert Leppich
Michael Stenger
Daniel Grillmeyer
Vanessa Borst
Samuel Kounev
AI4TS
AI4CE
62
0
0
26 Apr 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
40
12
0
03 Jan 2025
GG-SSMs: Graph-Generating State Space Models
GG-SSMs: Graph-Generating State Space Models
Nikola Zubić
Davide Scaramuzza
Mamba
86
1
0
17 Dec 2024
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
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
88
0
0
26 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
Yanlong Wang
J. Xu
Fei Ma
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
24
1
0
03 Nov 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
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
40
0
0
22 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
X. Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
38
8
0
21 Oct 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting
  Method Using Mamba
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
Li Wu
Wenbin Pei
Jiulong Jiao
Qiang Zhang
Mamba
AI4TS
20
2
0
15 Oct 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting
Unlocking the Power of LSTM for Long Term Time Series Forecasting
Yaxuan Kong
Zepu Wang
Yuqi Nie
Tian Zhou
Stefan Zohren
Yuxuan Liang
Peng Sun
Qingsong Wen
AI4TS
14
11
0
19 Aug 2024
Scaling Law for Time Series Forecasting
Scaling Law for Time Series Forecasting
Jingzhe Shi
Qinwei Ma
Huan Ma
Lei Li
AI4TS
31
8
0
24 May 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
34
15
0
29 Feb 2024
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series
  Forecasting
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
118
165
0
18 May 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
111
391
0
03 Feb 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
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
1