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Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
v1v2v3 (latest)

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 Wang
Xifeng Yan
    AI4TS
ArXiv (abs)PDFHTML

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

50 / 503 papers shown
Title
Meta-Transformer: A Unified Framework for Multimodal Learning
Meta-Transformer: A Unified Framework for Multimodal Learning
Yiyuan Zhang
Kaixiong Gong
Kaipeng Zhang
Hongsheng Li
Yu Qiao
Wanli Ouyang
Xiangyu Yue
105
150
0
20 Jul 2023
Forecasting Early with Meta Learning
Forecasting Early with Meta Learning
Shayan Jawed
Kiran Madhusudhanan
Vijaya Krishna Yalavarthi
Lars Schmidt-Thieme
AI4TS
123
0
0
19 Jul 2023
U-shaped Transformer: Retain High Frequency Context in Time Series
  Analysis
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis
Qing-Hong Chen
Y. Zhang
AI4TS
74
1
0
18 Jul 2023
GBT: Two-stage transformer framework for non-stationary time series
  forecasting
GBT: Two-stage transformer framework for non-stationary time series forecasting
Li Shen
Yuning Wei
Yangzhu Wang
AI4TS
90
24
0
17 Jul 2023
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series
  Interpretable Forecasting
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting
Tianlong Zhao
Xiang Ma
Xue-mei Li
Caiming Zhang
AI4TS
33
2
0
13 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
106
21
0
12 Jul 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series
  Forecasting
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting
Sitan Yang
Malcolm Wolff
S. Ramasubramanian
Vincent Quenneville-Belair
Ronak Metha
Michael W. Mahoney
AI4TSAI4CE
62
1
0
07 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
114
165
0
05 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time
  Series Forecasting
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
Zhenwei Zhang
Linghang Meng
Yuantao Gu
AI4TS
62
18
0
04 Jul 2023
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting
Zhenwei Zhang
Xin Wang
Jingyuan Xie
Heling Zhang
Yuantao Gu
AI4TS
66
7
0
04 Jul 2023
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural
  Networks for Traffic Prediction
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
Xunlian Luo
Chunjiang Zhu
Detian Zhang
Qing Li
GNNAI4TS
109
7
0
02 Jul 2023
Transformers in Healthcare: A Survey
Transformers in Healthcare: A Survey
Subhash Nerella
S. Bandyopadhyay
Jiaqing Zhang
Miguel Contreras
Scott Siegel
...
Jessica Sena
B. Shickel
A. Bihorac
Kia Khezeli
Parisa Rashidi
MedImAI4CE
96
36
0
30 Jun 2023
Improving the Transferability of Time Series Forecasting with
  Decomposition Adaptation
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation
Yan-hong Gao
Yan Wang
Qiang Wang
AI4TS
51
0
0
30 Jun 2023
Sparsity exploitation via discovering graphical models in multi-variate
  time-series forecasting
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting
Ngoc-Dung Do
Truong-Son Hy
D. Nguyen
AI4TS
42
0
0
29 Jun 2023
Comparing Deep Learning Models for the Task of Volatility Prediction
  Using Multivariate Data
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data
Wenbo Ge
Pooia Lalbakhsh
Leigh Isai
Artem Lenskiy
Hanna Suominen
OOD
27
3
0
20 Jun 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
OODAI4TS
48
8
0
19 Jun 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time
  Series Anomaly Detection
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Yiyuan Yang
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
185
133
0
17 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term
  Multivariate Time Series Forecasting
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting
Yanjun Zhao
Ziqing Ma
Tian Zhou
Liang Sun
M. Ye
Yi Qian
AI4TS
128
23
0
14 Jun 2023
Robustness and Generalization Performance of Deep Learning Models on
  Cyber-Physical Systems: A Comparative Study
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study
Alexander Windmann
Henrik S. Steude
Oliver Niggemann
OODAI4TSAAML
59
3
0
13 Jun 2023
Localised Adaptive Spatial-Temporal Graph Neural Network
Localised Adaptive Spatial-Temporal Graph Neural Network
Wenying Duan
Xiaoxi He
Zimu Zhou
Lothar Thiele
Hong Rao
66
18
0
12 Jun 2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time
  Series Forecasting
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Xing Wang
Zhendong Wang
Kexin Yang
Junlan Feng
Zhi-yan Song
Chao Deng
Lin Zhu
AI4TS
39
3
0
12 Jun 2023
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time
  Series Forecasting
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time Series Forecasting
Ebenezer R. H. P. Isaac
Bulbul Singh
AI4TS
42
0
0
09 Jun 2023
Non-autoregressive Conditional Diffusion Models for Time Series
  Prediction
Non-autoregressive Conditional Diffusion Models for Time Series Prediction
Lifeng Shen
James Kwok
DiffMAI4CE
94
57
0
08 Jun 2023
Does Long-Term Series Forecasting Need Complex Attention and Extra Long
  Inputs?
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
Daojun Liang
Haixia Zhang
Dongfeng Yuan
Xiaoyan Ma
Dongyang Li
Minggao Zhang
AI4TS
30
6
0
08 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
BDLAI4TS
82
2
0
04 Jun 2023
RITA: Group Attention is All You Need for Timeseries Analytics
RITA: Group Attention is All You Need for Timeseries Analytics
Jiaming Liang
Lei Cao
Samuel Madden
Z. Ives
Guoliang Li
AI4TS
49
1
0
02 Jun 2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Trang H. Tran
Lam M. Nguyen
K. Yeo
Nam H. Nguyen
Dzung Phan
Roman Vaculin
Jayant Kalagnanam
SyDaBDLAI4TS
73
4
0
01 Jun 2023
Learning Gaussian Mixture Representations for Tensor Time Series
  Forecasting
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
Jiewen Deng
Jinliang Deng
Renhe Jiang
Xuan Song
AI4TS
99
5
0
01 Jun 2023
Taylorformer: Probabilistic Predictions for Time Series and other
  Processes
Taylorformer: Probabilistic Predictions for Time Series and other Processes
Omer Nivron
R. Parthipan
Damon J. Wischik
BDLAI4TS
79
2
0
30 May 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
81
13
0
30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series
  Forecasting with Transformers
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
Zahra Atashgahi
Mykola Pechenizkiy
Raymond N. J. Veldhuis
Decebal Constantin Mocanu
AI4TSAI4CE
55
1
0
28 May 2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for
  Multivariate Long-term Time Series Forecasting
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting
Zheng Sun
Yi Wei
Wenxiao Jia
Long Yu
AI4TS
56
0
0
25 May 2023
TLNets: Transformation Learning Networks for long-range time-series
  prediction
TLNets: Transformation Learning Networks for long-range time-series prediction
Wen Wang
Yang Liu
Haoqin Sun
AI4TS
72
3
0
25 May 2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series
  Forecasting
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting
Yushu Chen
Shengzhuo Liu
Jinzhe Yang
Hao Jing
Wenlai Zhao
Guang-Wu Yang
AI4TS
50
22
0
24 May 2023
Deep Learning based Forecasting: a case study from the online fashion
  industry
Deep Learning based Forecasting: a case study from the online fashion industry
Manuel Kunz
Stefan Birr
Mones Raslan
Lei Ma
Zhuguo Li
...
Armin Kekić
Michael Narodovitch
Kashif Rasul
Julian Sieber
Tim Januschowski
117
16
0
23 May 2023
Sequential Transfer Learning to Decode Heard and Imagined Timbre from
  fMRI Data
Sequential Transfer Learning to Decode Heard and Imagined Timbre from fMRI Data
S. Paulsen
M. Casey
MedIm
51
1
0
22 May 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and
  Scalable Time Series Forecasting
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
Jinliang Deng
Xiusi Chen
Renhe Jiang
Du Yin
Yezhou Yang
Xuan Song
Ivor W. Tsang
BDLAI4TS
99
22
0
22 May 2023
Forecasting Irregularly Sampled Time Series using Graphs
Forecasting Irregularly Sampled Time Series using Graphs
Vijaya Krishna Yalavarthi
Kiran Madusudanan
Randolf Scholz
Nourhan Ahmed
Johannes Burchert
Shayan Jawed
Stefan Born
Lars Schmidt-Thieme
AI4TS
42
2
0
22 May 2023
Stock and market index prediction using Informer network
Stock and market index prediction using Informer network
Yu-Hsin Lu
Hailong Zhang
Qiwen Guo
AIFinAI4TS
125
5
0
22 May 2023
Temporal Fusion Transformers for Streamflow Prediction: Value of
  Combining Attention with Recurrence
Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence
Sinan Rasiya Koya
Tirthankar Roy
AI4TS
28
28
0
21 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series
  Forecasting
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
Xue Wang
Tian Zhou
Qingsong Wen
Jinyang Gao
Bolin Ding
Rong Jin
AI4TS
83
44
0
20 May 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
103
55
0
18 May 2023
Self-Supervised Pretraining on Paired Sequences of fMRI Data for
  Transfer Learning to Brain Decoding Tasks
Self-Supervised Pretraining on Paired Sequences of fMRI Data for Transfer Learning to Brain Decoding Tasks
S. Paulsen
M. Casey
MedImAI4CEViT
53
1
0
15 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time
  Series Forecasting
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
Ryo Umagami
Yusuke Ono
Yusuke Mukuta
Tatsuya Harada
AI4TS
80
3
0
14 May 2023
Explainable Parallel RCNN with Novel Feature Representation for Time
  Series Forecasting
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting
Jimeng Shi
Rukmangadh Myana
Vitalii Stebliankin
Azam Shirali
Giri Narasimhan
AI4TS
41
7
0
08 May 2023
Mlinear: Rethink the Linear Model for Time-series Forecasting
Mlinear: Rethink the Linear Model for Time-series Forecasting
Wei Li
Xiangxu Meng
Chuhao Chen
Jianing Chen
AI4TS
58
6
0
08 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of
  Interacting Dynamical Systems
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
65
6
0
02 May 2023
Multi-scale Transformer-based Network for Emotion Recognition from Multi
  Physiological Signals
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals
T. Vu
V. Huynh
Soo-Hyung Kim
62
7
0
01 May 2023
Contour Completion by Transformers and Its Application to Vector Font
  Data
Contour Completion by Transformers and Its Application to Vector Font Data
Yusuke Nagata
Brian Kenji Iwana
S. Uchida
88
1
0
27 Apr 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das
Weihao Kong
Andrew B. Leach
Shaan Mathur
Rajat Sen
Rose Yu
AI4TS
116
280
0
17 Apr 2023
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