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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
CLeaRForecast: Contrastive Learning of High-Purity Representations for
  Time Series Forecasting
CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting
Jiaxin Gao
Yuxiao Hu
Qinglong Cao
Siqi Dai
Yuntian Chen
AI4TS
34
0
0
10 Dec 2023
Adaptive Dependency Learning Graph Neural Networks
Adaptive Dependency Learning Graph Neural Networks
Abishek Sriramulu
Nicolas Fourrier
Christoph Bergmeir
AI4TSAI4CE
67
21
0
06 Dec 2023
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for
  General Time Series Forecasting
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting
Linfeng Du
Ji Xin
Alex Labach
S. Zuberi
M. Volkovs
Rahul G. Krishnan
AI4TS
31
0
0
30 Nov 2023
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural
  Architecture Search in Time Series Anomaly Detection
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
Ijazul Haq
Byung Suk Lee
Donna M. Rizzo
AI4TS
52
7
0
29 Nov 2023
Hierarchical Joint Graph Learning and Multivariate Time Series
  Forecasting
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting
Juhyeon Kim
Hyungeun Lee
Seungwon Yu
Ung Hwang
Wooyeol Jung
Miseon Park
Kijung Yoon
AI4TS
39
2
0
21 Nov 2023
Advancing Transformer Architecture in Long-Context Large Language
  Models: A Comprehensive Survey
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
Yunpeng Huang
Jingwei Xu
Junyu Lai
Zixu Jiang
Taolue Chen
...
Xiaoxing Ma
Lijuan Yang
Zhou Xin
Shupeng Li
Penghao Zhao
LLMAGKELM
100
66
0
21 Nov 2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time
  Series
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series
Trang H. Tran
Lam M. Nguyen
Kyongmin Yeo
Nam H. Nguyen
Roman Vaculin
AI4TS
57
0
0
21 Nov 2023
Correlated Attention in Transformers for Multivariate Time Series
Correlated Attention in Transformers for Multivariate Time Series
Quang Minh Nguyen
Lam M. Nguyen
Subhro Das
AI4TS
37
1
0
20 Nov 2023
Self-Distilled Representation Learning for Time Series
Self-Distilled Representation Learning for Time Series
Felix Pieper
Konstantin Ditschuneit
Martin Genzel
Alexandra Lindt
Johannes Otterbach
AI4TS
62
1
0
19 Nov 2023
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale
  Patching and Smooth Quadratic Loss
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss
Site Mo
Haoxin Wang
Bixiong Li
Songhai Fan
Yuankai Wu
Xianggen Liu
AI4TS
48
13
0
19 Nov 2023
Long-term Time Series Forecasting based on Decomposition and Neural
  Ordinary Differential Equations
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations
S. Lim
Jaehyeon Park
Seojin Kim
Hyowon Wi
Haksoo Lim
Jinsung Jeon
Jeongwhan Choi
Noseong Park
AI4TSAI4CE
78
2
0
08 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting
Multi-resolution Time-Series Transformer for Long-term Forecasting
Yitian Zhang
Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Mark Coates
AI4TS
86
35
0
07 Nov 2023
Ego-Network Transformer for Subsequence Classification in Time Series
  Data
Ego-Network Transformer for Subsequence Classification in Time Series Data
Chin-Chia Michael Yeh
Huiyuan Chen
Yujie Fan
Xin Dai
Yan Zheng
...
Junpeng Wang
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn J. Keogh
85
5
0
05 Nov 2023
Temporal Treasure Hunt: Content-based Time Series Retrieval System for
  Discovering Insights
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights
Chin-Chia Michael Yeh
Huiyuan Chen
Xin Dai
Yan Zheng
Yujie Fan
...
Junpeng Wang
Audrey Der
Zhongfang Zhuang
Liang Wang
Wei Zhang
49
1
0
05 Nov 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
82
37
0
31 Oct 2023
A Systematic Review for Transformer-based Long-term Series Forecasting
A Systematic Review for Transformer-based Long-term Series Forecasting
Liyilei Su
Xumin Zuo
Rui Li
Xin Wang
Heng Zhao
Bingding Huang
AI4TS
78
12
0
31 Oct 2023
GraphTransformers for Geospatial Forecasting of Hurricane Trajectories
GraphTransformers for Geospatial Forecasting of Hurricane Trajectories
P. Banerjee
Satyaki Chakraborty
AI4TS
23
0
0
31 Oct 2023
AMLNet: Adversarial Mutual Learning Neural Network for
  Non-AutoRegressive Multi-Horizon Time Series Forecasting
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting
Yang Lin
AI4TS
66
0
0
30 Oct 2023
Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance
  Using Self-Supervised Deep Learning
Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning
Pierre Bernabé
Arnaud Gotlieb
B. Legeard
D. Marijan
F. Sem-Jacobsen
Helge Spieker
38
16
0
24 Oct 2023
Graph Deep Learning for Time Series Forecasting
Graph Deep Learning for Time Series Forecasting
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TSAI4CE
126
16
0
24 Oct 2023
SigFormer: Signature Transformers for Deep Hedging
SigFormer: Signature Transformers for Deep Hedging
Anh Tong
Thanh Nguyen-Tang
Dongeun Lee
Toan M. Tran
Jaesik Choi
AIFin
153
5
0
20 Oct 2023
Hierarchical Forecasting at Scale
Hierarchical Forecasting at Scale
O. Sprangers
Wander S. Wadman
Sebastian Schelter
Maarten de Rijke
AI4TS
21
2
0
19 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
Yuxuan Liang
Bryan Hooi
Roger Zimmermann
AI4TS
117
90
0
15 Oct 2023
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual
  Learning
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
Jiecheng Lu
Xu Han
Shihao Yang
AI4TS
44
4
0
14 Oct 2023
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for
  Traffic Flow Prediction
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction
Xiao Xu
Lei Zhang
Bailong Liu
Zhi Liang
Xuefei Zhang
AI4TS
76
1
0
12 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series
  Forecasting
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Kashif Rasul
Arjun Ashok
Andrew Robert Williams
Hena Ghonia
Rishika Bhagwatkar
...
Nicolas Chapados
Alexandre Drouin
Valentina Zantedeschi
Yuriy Nevmyvaka
Irina Rish
AI4TSBDL
90
50
0
12 Oct 2023
Counterfactual Explanations for Time Series Forecasting
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang
Ioanna Miliou
Isak Samsten
P. Papapetrou
BDLAI4TSOOD
75
5
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
77
76
0
09 Oct 2023
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning
  for Microservice System
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System
Jun Huang
Yang Yang
Hang Yu
Jianguo Li
Xiao Zheng
AI4TS
33
14
0
07 Oct 2023
An Efficient Content-based Time Series Retrieval System
An Efficient Content-based Time Series Retrieval System
Chin-Chia Michael Yeh
Huiyuan Chen
Xin Dai
Yan Zheng
Junpeng Wang
...
Audrey Der
Zhongfang Zhuang
Liang Wang
Wei Zhang
Jeff M. Phillips
68
6
0
05 Oct 2023
Toward a Foundation Model for Time Series Data
Toward a Foundation Model for Time Series Data
Chin-Chia Michael Yeh
Xin Dai
Huiyuan Chen
Yan Zheng
Yujie Fan
...
Vivian Lai
Zhongfang Zhuang
Junpeng Wang
Liang Wang
Wei Zhang
AI4TSAI4CE
159
26
0
05 Oct 2023
A Study of Quantisation-aware Training on Time Series Transformer Models
  for Resource-constrained FPGAs
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs
Tianheng Ling
Chao Qian
Lukas Einhaus
Gregor Schiele
31
1
0
04 Oct 2023
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic
  Temporal Attention in Exoskeleton Control
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control
L. Saad Saoud
Irfan Hussain
55
3
0
03 Oct 2023
Perceiver-based CDF Modeling for Time Series Forecasting
Perceiver-based CDF Modeling for Time Series Forecasting
Cat P. Le
Chris Cannella
Ali Hasan
Yuting Ng
Vahid Tarokh
AI4TS
122
1
0
03 Oct 2023
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting
  for Cumulative Data
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data
Zhichao Chen
Leilei Ding
Zhixuan Chu
Yucheng Qi
Jia-Bin Huang
Hao Wang
AI4TS
55
12
0
23 Sep 2023
Transformers versus LSTMs for electronic trading
Transformers versus LSTMs for electronic trading
Paul Bilokon
Yitao Qiu
AI4TSAIFin
54
15
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
OODCML
34
0
0
20 Sep 2023
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for
  Failure Prediction
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction
Rohan Mohapatra
Saptarshi Sengupta
52
3
0
06 Sep 2023
Encoding Seasonal Climate Predictions for Demand Forecasting with
  Modular Neural Network
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network
S. Marvaniya
Jitendra Singh
Nicolas Galichet
Fred Ochieng Otieno
Geeth de Mel
Kommy Weldemariam
AI4TS
117
0
0
05 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and
  Re-occurrence Preservation
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation
Siwei Zhang
Yun Xiong
Yao Zhang
Xixi Wu
Yiheng Sun
Jiawei Zhang
AI4TS
76
4
0
05 Sep 2023
Business Metric-Aware Forecasting for Inventory Management
Business Metric-Aware Forecasting for Inventory Management
Helen Zhou
Sercan O. Arik
Jingtao Wang
AI4TS
62
4
0
24 Aug 2023
Multi-scale Transformer Pyramid Networks for Multivariate Time Series
  Forecasting
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
Yifan Zhang
Rui Wu
S. Dascalu
F. Harris
AI4TS
47
18
0
23 Aug 2023
Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion
  based Classification
Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification
Chengguo Yuan
Yu Jin
Zong-Yao Wu
Fanting Wei
Yangzirui Wang
Langlang Chen
Tianlin Li
ViT
144
7
0
23 Aug 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
80
62
0
22 Aug 2023
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
Hojoon Lee
Hawon Jeong
ByungKun Lee
Kyungyup Lee
Jaegul Choo
AI4TS
53
7
0
21 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced
  Transformer
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer
Shengsheng Lin
Weiwei Lin
Wentai Wu
Song Wang
Yongxiang Wang
AI4TS
77
21
0
09 Aug 2023
Sparse Binary Transformers for Multivariate Time Series Modeling
Sparse Binary Transformers for Multivariate Time Series Modeling
Matt Gorbett
Hossein Shirazi
I. Ray
AI4TS
88
14
0
09 Aug 2023
DSformer: A Double Sampling Transformer for Multivariate Time Series
  Long-term Prediction
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
Chengqing Yu
Fei Wang
Zezhi Shao
Tao Sun
Lin Wu
Yongjun Xu
AI4TS
80
90
0
07 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution
  Detection and Generalization
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Wang Lu
Jindong Wang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODDAI4TS
118
18
0
04 Aug 2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic
  Forecasting
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
Zezhi Shao
Fei Wang
Zhao Zhang
Yuchen Fang
G. Jin
Yongjun Xu
ViTAI4TS
44
5
0
27 Jul 2023
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