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xLSTMTime : Long-term Time Series Forecasting With xLSTM
v1v2v3 (latest)

xLSTMTime : Long-term Time Series Forecasting With xLSTM

14 July 2024
Musleh Alharthi
A. Mahmood
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "xLSTMTime : Long-term Time Series Forecasting With xLSTM"

13 / 13 papers shown
Title
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
Hengyu Lin
AI4CE
97
0
0
04 Apr 2025
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
M. Beck
Korbinian Poppel
Phillip Lippe
Sepp Hochreiter
148
4
0
18 Mar 2025
iTransformer: Inverted Transformers Are Effective for Time Series
  Forecasting
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Yong Liu
Tengge Hu
Haoran Zhang
Haixu Wu
Shiyu Wang
Lintao Ma
Mingsheng Long
AI4TS
130
548
0
10 Oct 2023
Effectively Modeling Time Series with Simple Discrete State Spaces
Effectively Modeling Time Series with Simple Discrete State Spaces
Michael Zhang
Khaled Kamal Saab
Michael Poli
Tri Dao
Karan Goel
Christopher Ré
AI4TS
64
47
0
16 Mar 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TSAIFin
148
817
0
05 Oct 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term
  Series Forecasting
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou
Ziqing Ma
Qingsong Wen
Xue Wang
Liang Sun
Rong Jin
AI4TS
256
1,458
0
30 Jan 2022
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
113
2,320
0
24 Jun 2021
Recurrent Neural Networks for Time Series Forecasting: Current Status
  and Future Directions
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
AI4TS
90
901
0
02 Sep 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
AI4TS
121
1,429
0
29 Jun 2019
Recurrent Neural Networks for Time Series Forecasting
Recurrent Neural Networks for Time Series Forecasting
Gábor Petneházi
AI4TS
94
115
0
01 Jan 2019
Conditional Time Series Forecasting with Convolutional Neural Networks
Conditional Time Series Forecasting with Convolutional Neural Networks
Anastasia Borovykh
S. Bohté
C. Oosterlee
AI4TS
89
477
0
14 Mar 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
817
39,255
0
09 Mar 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
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