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A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

27 November 2022
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
    AIFin
    AI4TS
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Papers citing "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers"

50 / 164 papers shown
Title
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu
Zhe Jiang
Zelin Xu
Tingsong Xiao
Zhengkun Xiao
Haibo Wang
Shigang Chen
AI4TS
42
0
0
02 Aug 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen
Tianyu Cao
Ninon De Mecquenem
Jiahe Li
Zhilong Chen
F. Friederici
Yang Yang
43
1
0
31 Jul 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
Lei Ren
Haiteng Wang
Yang Tang
Yang Tang
Chunhua Yang
AI4TS
AI4CE
51
5
0
16 Jul 2024
Paving the way toward foundation models for irregular and unaligned
  Satellite Image Time Series
Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
Iris Dumeur
Silvia Valero
Jordi Inglada
40
3
0
11 Jul 2024
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting
Luoxiao Yang
Yun Wang
Xinqi Fan
Israel Cohen
Jingdong Chen
Yue Zhao
Zijun Zhang
AI4TS
46
5
0
10 Jul 2024
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
Egon Persak
Miguel F. Anjos
Sebastian Lautz
Aleksandar Kolev
AI4TS
41
0
0
03 Jul 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
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
Yuxuan Shu
Vasileios Lampos
AI4TS
AI4CE
70
0
0
11 Jun 2024
TwinS: Revisiting Non-Stationarity in Multivariate Time Series
  Forecasting
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
Jiaxi Hu
Qingsong Wen
Sijie Ruan
Li Liu
Yuxuan Liang
AI4TS
36
5
0
06 Jun 2024
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Jihyeon Seong
Sekwang Oh
Jaesik Choi
AI4TS
47
0
0
06 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md. Atik Ahamed
Qiang Cheng
Mamba
66
1
0
06 Jun 2024
FTS: A Framework to Find a Faithful TimeSieve
FTS: A Framework to Find a Faithful TimeSieve
Songning Lai
Ninghui Feng
Haochen Sui
Ze Ma
Hao Wang
Zichen Song
Hang Zhao
Yutao Yue
AI4TS
39
15
0
30 May 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
FlightPatchNet: Multi-Scale Patch Network with Differential Coding for
  Flight Trajectory Prediction
FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Flight Trajectory Prediction
Lan Wu
Xuebin Wang
Ruijuan Chu
Guangyi Liu
Yingchun Chen
Jing Zhang
Linyu Wang
16
0
0
25 May 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
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Qichao Shentu
Beibu Li
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
53
5
0
24 May 2024
Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective
Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective
Zhijian Xu
Hao Wang
Qiang Xu
AI4TS
41
11
0
22 May 2024
Adaptive Convolutional Forecasting Network Based on Time Series
  Feature-Driven
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven
Dandan Zhang
Zhiqiang Zhang
Nanguang Chen
Yun Wang
AI4TS
45
0
0
20 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
Context Neural Networks: A Scalable Multivariate Model for Time Series
  Forecasting
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
Abishek Sriramulu
Christoph Bergmeir
Slawek Smyl
AI4TS
23
0
0
12 May 2024
xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for
  Long-Term Traffic Prediction
xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction
H. Ung
Hao Niu
Minh-Son Dao
Shinya Wada
A. Minamikawa
28
0
0
08 May 2024
Data Augmentation Policy Search for Long-Term Forecasting
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn
Omri Azencot
AI4TS
TPM
46
3
0
01 May 2024
Foundational GPT Model for MEG
Foundational GPT Model for MEG
Richard Csaky
M. Es
Oiwi Parker Jones
M. Woolrich
40
2
0
14 Apr 2024
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time
  Series Forecasting
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
Hengyu Ye
Jiadong Chen
Shijin Gong
Fuxin Jiang
Tieying Zhang
Jianjun Chen
Xiaofeng Gao
AI4TS
37
3
0
08 Apr 2024
SleepVST: Sleep Staging from Near-Infrared Video Signals using
  Pre-Trained Transformers
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers
Jonathan Carter
João Jorge
O. Gibson
Lionel Tarassenko
40
2
0
04 Apr 2024
Automated Contrastive Learning Strategy Search for Time Series
Automated Contrastive Learning Strategy Search for Time Series
Baoyu Jing
Yansen Wang
Guoxin Sui
Jing Hong
Jingrui He
Yuqing Yang
Dongsheng Li
Kan Ren
AI4TS
32
6
0
19 Mar 2024
Advancing Time Series Classification with Multimodal Language Modeling
Advancing Time Series Classification with Multimodal Language Modeling
Mingyue Cheng
Yiheng Chen
Qi Liu
Zhiding Liu
Yucong Luo
AI4TS
38
11
0
19 Mar 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu
Hang Guo
Tao Dai
Naiqi Li
Jigang Bao
Xudong Ren
Yong Jiang
Shu-Tao Xia
AI4TS
70
17
0
12 Mar 2024
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan
Yueying Wu
Chang Xu
Yu-Hao Huang
Weiqing Liu
Jiang Bian
DiffM
31
20
0
09 Mar 2024
Efficient High-Resolution Time Series Classification via Attention
  Kronecker Decomposition
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition
Aosong Feng
Jialin Chen
Juan Garza
Brooklyn Berry
Francisco Salazar
Yifeng Gao
Rex Ying
Leandros Tassiulas
41
1
0
07 Mar 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
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu
Haoran Zhang
Chenyu Li
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AIFin
AI4TS
AI4CE
39
50
0
04 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain
FreDF: Learning to Forecast in the Frequency Domain
Hao Wang
Licheng Pan
Zhichao Chen
Degui Yang
Sen Zhang
Yifei Yang
Xinggao Liu
Haoxuan Li
Dacheng Tao
AI4TS
62
14
0
04 Feb 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting:
  Learning from Leading Indicators
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Lifan Zhao
Yanyan Shen
AI4TS
AIFin
41
13
0
31 Jan 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
79
15
0
30 Jan 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
36
6
0
18 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series
  Tasks
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
Haowen Hou
F. Richard Yu
AI4TS
35
20
0
17 Jan 2024
Large Pre-trained time series models for cross-domain Time series
  analysis tasks
Large Pre-trained time series models for cross-domain Time series analysis tasks
Harshavardhan Kamarthi
B. A. Prakash
VLM
AI4TS
15
10
0
19 Nov 2023
Reinforcement Learning with Maskable Stock Representation for Portfolio
  Management in Customizable Stock Pools
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools
Wentao Zhang
Yilei Zhao
Shuo Sun
Jie Ying
Yonggang Xie
Zitao Song
Xinrun Wang
Bo An
AIFin
OOD
21
5
0
17 Nov 2023
Multi Time Scale World Models
Multi Time Scale World Models
Vaisakh Shaj
Saleh Gholam Zadeh
Ozan Demir
L. R. Douat
Gerhard Neumann
AI4CE
28
3
0
27 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Keli Zhang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
118
0
16 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
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
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series
  Forecasting
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Defu Cao
Furong Jia
Sercan Ö. Arik
Tomas Pfister
Yixiang Zheng
Wen Ye
Yan Liu
AI4TS
35
123
0
08 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin
Shiyu Wang
Lintao Ma
Zhixuan Chu
James Y. Zhang
...
Pin-Yu Chen
Keli Zhang
Yuan-Fang Li
Shirui Pan
Qingsong Wen
AI4TS
50
358
0
03 Oct 2023
Astroconformer: The Prospects of Analyzing Stellar Light Curves with
  Transformer-Based Deep Learning Models
Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models
Kishankumar Bhimani
Yuan-Sen Ting
Jie Yu
16
4
0
28 Sep 2023
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST
Guoqi Yu
Hailun Yao
Huan Zheng
Ximing Xu
31
0
0
26 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
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