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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

29 June 2019
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu-Xiang Wang
Xifeng Yan
    AI4TS
ArXivPDFHTML

Papers citing "Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting"

50 / 160 papers shown
Title
Learning to Dissipate Energy in Oscillatory State-Space Models
Learning to Dissipate Energy in Oscillatory State-Space Models
Jared Boyer
T. Konstantin Rusch
Daniela Rus
6
0
0
17 May 2025
Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics
Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics
Chi-Sheng Chen
En-Jui Kuo
AI4CE
34
0
0
11 May 2025
Retrieval Augmented Time Series Forecasting
Retrieval Augmented Time Series Forecasting
Sungwon Han
Seungeon Lee
M. Cha
Sercan Ö. Arik
Jinsung Yoon
AI4TS
38
0
0
07 May 2025
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
Xiao Zheng
Saeed Asadi Bagloee
Majid Sarvi
AI4TS
43
0
0
30 Apr 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
69
0
0
26 Apr 2025
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices
Esam Mahdi
C. Martin-Barreiro
X. Cabezas
AI4TS
34
0
0
23 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis
Pets: General Pattern Assisted Architecture For Time Series Analysis
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
32
0
0
19 Apr 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga
M. E. Ildiz
Samet Oymak
AI4TS
57
2
0
22 Feb 2025
Positional Encoding in Transformer-Based Time Series Models: A Survey
Positional Encoding in Transformer-Based Time Series Models: A Survey
Habib Irani
Vangelis Metsis
AI4TS
53
0
0
17 Feb 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
51
12
0
03 Jan 2025
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
215
0
0
26 Nov 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic
  Time-Series Transformer
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Jiawen Zhang
Shun Zheng
Xumeng Wen
Xiaofang Zhou
Jiang Bian
Jiajun Li
AI4TS
44
3
0
04 Nov 2024
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting
Suhan Guo
Jiahong Deng
Yi Wei
Hui Dou
Furao Shen
Jian Zhao
AI4TS
182
0
0
31 Oct 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
174
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
Xiaoming Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
46
11
0
21 Oct 2024
Local Attention Mechanism: Boosting the Transformer Architecture for
  Long-Sequence Time Series Forecasting
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
Ignacio Aguilera-Martos
Andrés Herrera-Poyatos
Julián Luengo
Francisco Herrera
AI4TS
33
0
0
04 Oct 2024
Oscillatory State-Space Models
Oscillatory State-Space Models
T. Konstantin Rusch
Daniela Rus
AI4TS
162
6
0
04 Oct 2024
Optimal starting point for time series forecasting
Optimal starting point for time series forecasting
Yiming Zhong
Yinuo Ren
Guangyao Cao
Feng Li
Haobo Qi
AI4TS
36
1
0
25 Sep 2024
The Roles of Generative Artificial Intelligence in Internet of Electric
  Vehicles
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
Hanwen Zhang
Dusit Niyato
Wei Zhang
Changyuan Zhao
Hongyang Du
Abbas Jamalipour
Sumei Sun
Yiyang Pei
AI4CE
44
2
0
24 Sep 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
37
4
0
24 Sep 2024
Hypergraph Learning based Recommender System for Anomaly Detection,
  Control and Optimization
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
AI4TS
32
2
0
21 Aug 2024
Neural Network Emulator for Atmospheric Chemical ODE
Neural Network Emulator for Atmospheric Chemical ODE
Zhi-Song Liu
Petri S. Clusius
Michael Boy
42
3
0
03 Aug 2024
Practical Marketplace Optimization at Uber Using Causally-Informed
  Machine Learning
Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning
Bobby Chen
Siyu Chen
Jason Dowlatabadi
Yu Xuan Hong
Vinayak Iyer
...
Kaichen Wei
Chen Xu
Jingnan Yang
Allen T. Zhang
Guoqing Zhang
OffRL
39
0
0
26 Jul 2024
Time Series Generative Learning with Application to Brain Imaging
  Analysis
Time Series Generative Learning with Application to Brain Imaging Analysis
Zhenghao Li
Sanyou Wu
Long Feng
MedIm
41
0
0
19 Jul 2024
CUPID: Improving Battle Fairness and Position Satisfaction in Online
  MOBA Games with a Re-matchmaking System
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System
Ge Fan
Chaoyun Zhang
Kai Wang
Yingjie Li
Junyang Chen
Zenglin Xu
36
1
0
28 Jun 2024
Fredformer: Frequency Debiased Transformer for Time Series Forecasting
Fredformer: Frequency Debiased Transformer for Time Series Forecasting
Xihao Piao
Zheng Chen
Taichi Murayama
Yasuko Matsubara
Yasushi Sakurai
AI4TS
50
18
0
13 Jun 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series
  Forecasting
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
Xiuding Cai
Yaoyao Zhu
Xueyao Wang
Yu Yao
Mamba
AI4TS
38
7
0
26 May 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time
  series forecasting
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting
Ziyou Guo
Yan Sun
Tieru Wu
AI4TS
38
2
0
17 May 2024
DGCformer: Deep Graph Clustering Transformer for Multivariate Time
  Series Forecasting
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
Qinshuo Liu
Yanwen Fang
Pengtao Jiang
Guodong Li
AI4TS
21
0
0
14 May 2024
Fighter flight trajectory prediction based on spatio-temporal graphcial
  attention network
Fighter flight trajectory prediction based on spatio-temporal graphcial attention network
Yao Sun
Tengyu Jing
Jiapeng Wang
Wei Wang
29
0
0
13 May 2024
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
C. Symeonidis
N. Nikolaidis
36
0
0
26 Apr 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
38
17
0
29 Feb 2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot
  Multivariate Time Series Forecasting through Next Curve Shape Prediction
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
Cheng Feng
Long Huang
Denis Krompass
AI4TS
23
5
0
12 Feb 2024
Encoding Temporal Statistical-space Priors via Augmented Representation
Encoding Temporal Statistical-space Priors via Augmented Representation
Insu Choi
Woosung Koh
Gimin Kang
Yuntae Jang
Woo Chang Kim
AI4TS
42
0
0
30 Jan 2024
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical
  Convolution for Long-term Sequence Forecasting
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting
Zhihao Yu
Liantao Ma
Yasha Wang
Junfeng Zhao
AI4TS
18
0
0
28 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic
  Forecasting
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma
Timothy J. Zeyl
J. R. Anaraki
Lei Guo
BDL
AI4TS
26
9
0
22 Dec 2023
Adaptive Dependency Learning Graph Neural Networks
Adaptive Dependency Learning Graph Neural Networks
Abishek Sriramulu
Nicolas Fourrier
Christoph Bergmeir
AI4TS
AI4CE
32
21
0
06 Dec 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and
  Interpretable Basis
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
Zelin Ni
Hang Yu
Shizhan Liu
Jianguo Li
Weiyao Lin
AI4TS
28
30
0
31 Oct 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series
  Forecasting
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu
Junfeng Hu
Yuan N. Li
Shizhe Diao
Keli Zhang
Bryan Hooi
Roger Zimmermann
AI4TS
27
77
0
15 Oct 2023
Counterfactual Explanations for Time Series Forecasting
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang
Ioanna Miliou
Isak Samsten
P. Papapetrou
BDL
AI4TS
OOD
40
4
0
12 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting:
  Comprehensive Benchmarking and Heterogeneity Analysis
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
23
59
0
09 Oct 2023
Transformers versus LSTMs for electronic trading
Transformers versus LSTMs for electronic trading
Paul Bilokon
Yitao Qiu
AI4TS
AIFin
21
13
0
20 Sep 2023
Learning and DiSentangling Patient Static Information from Time-series
  Electronic HEalth Record (STEER)
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)
Wei-Duen Liao
J. Voldman
OOD
CML
9
0
0
20 Sep 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series
  Forecasting
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
Shengsheng Lin
Weiwei Lin
Wentai Wu
Feiyu Zhao
Ruichao Mo
Haotong Zhang
AI4TS
37
51
0
22 Aug 2023
Forecasting Early with Meta Learning
Forecasting Early with Meta Learning
Shayan Jawed
Kiran Madhusudhanan
Vijaya Krishna Yalavarthi
Lars Schmidt-Thieme
AI4TS
31
0
0
19 Jul 2023
Transformers in Reinforcement Learning: A Survey
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
26
19
0
12 Jul 2023
LongNet: Scaling Transformers to 1,000,000,000 Tokens
LongNet: Scaling Transformers to 1,000,000,000 Tokens
Jiayu Ding
Shuming Ma
Li Dong
Xingxing Zhang
Shaohan Huang
Wenhui Wang
Nanning Zheng
Furu Wei
CLL
41
151
0
05 Jul 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time
  Series Forecasting
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting
Li Shen
Yuning Wei
Yangzhu Wang
Huaxin Qiu
OOD
AI4TS
13
7
0
19 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for
  Multivariate Time Series Forecasting Dependency for Multivariate Time Series
  Forecasting
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting
Donghao Luo
Xue Wang
BDL
AI4TS
19
2
0
04 Jun 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for
  Multivariate Long-Term Time Series Forecasting
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
Jiaxin Gao
Wenbo Hu
Yuntian Chen
AI4TS
27
13
0
30 May 2023
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