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A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
v1v2 (latest)

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

27 November 2022
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
    AIFinAI4TS
ArXiv (abs)PDFHTMLGithub (1978★)

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

50 / 236 papers shown
Title
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
Bingke Zhu
Xiaoxiao Wang
Minghui Jia
Yihan Tao
Xiao Kong
Ali Luo
Yingying Chen
Ming Tang
Jinqiao Wang
129
0
0
25 Feb 2025
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
Young-Chae Hong
Bei Xiao
Yangho Chen
AI4TS
115
2
0
25 Feb 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
Raeid Saqur
Anastasis Kratsios
Florian Krach
Yannick Limmer
Jacob-Junqi Tian
John Willes
Blanka Horvath
Frank Rudzicz
MoE
150
0
0
24 Feb 2025
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
Xin Zhang
Liangxiu Han
Stephen White
Saad Hassan
Philip A Kalra
James Ritchie
Carl Diver
Jennie Shorley
124
1
0
24 Feb 2025
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam
Tianjin Huang
Haotian Hu
Zhenyu Zhang
Gaojie Jin
Xianrui Li
...
Tianlong Chen
Lu Liu
Qingsong Wen
Zhangyang Wang
Shiwei Liu
MQ
118
2
0
24 Feb 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
Liang Wang
Shaozhen Liu
Yu Rong
Deli Zhao
Qiang Liu
Shu Wu
Liang Wang
MedIm
136
3
0
22 Feb 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
150
3
0
22 Feb 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma
Kai Tang
Huan Li
Fei Teng
Dalin Zhang
Tianrui Li
AI4TS
101
0
0
21 Feb 2025
Simpler Fast Vision Transformers with a Jumbo CLS Token
Simpler Fast Vision Transformers with a Jumbo CLS Token
A. Fuller
Yousef Yassin
Daniel G. Kyrollos
Evan Shelhamer
James R. Green
203
0
0
20 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
123
1
0
18 Feb 2025
PPGF: Probability Pattern-Guided Time Series Forecasting
PPGF: Probability Pattern-Guided Time Series Forecasting
Yanru Sun
Zongxia Xie
Haoyu Xing
Hualong Yu
Q. Hu
AI4TS
79
0
0
18 Feb 2025
Performance of Zero-Shot Time Series Foundation Models on Cloud Data
Performance of Zero-Shot Time Series Foundation Models on Cloud Data
William Toner
Thomas L. Lee
Artjom Joosen
Rajkarn Singh
Martin Asenov
AI4TS
152
2
0
18 Feb 2025
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data
Abhilash Neog
Arka Daw
Sepideh Fatemi Khorasgani
Anuj Karpatne
AI4TS
60
0
0
18 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai
Haiqin Huang
Zhifang Jiang
Zijian Li
Changze Zhou
Yuequn Liu
Yuming Liu
Zijian Li
AI4TSCML
109
1
0
18 Feb 2025
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?
Ibram Abdelmalak
Kiran Madhusudhanan
Jungmin Choi
Maximilian Stubbemann
Lars Schmidt-Thieme
AI4TS
96
1
0
17 Feb 2025
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
Niels R. Lorenzen
P. Jennum
Emmanuel Mignot
A. Brink-Kjaer
80
0
0
17 Feb 2025
Strada-LLM: Graph LLM for traffic prediction
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas
Yangxintong Lyu
Bruno Cornelis
Alexandre Alahi
Adrian Munteanu
AI4TS
104
1
0
17 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Weilin Ruan
Siru Zhong
Haomin Wen
Yuxuan Liang
AI4TS
143
1
0
16 Feb 2025
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
Aditya Dey
Jonas Kusch
Fadi Al Machot
AI4TS
88
0
0
14 Feb 2025
Harnessing Vision Models for Time Series Analysis: A Survey
Harnessing Vision Models for Time Series Analysis: A Survey
Jingchao Ni
Ziming Zhao
ChengAo Shen
Hanghang Tong
Dongjin Song
Wei Cheng
Dongsheng Luo
Haifeng Chen
AI4TS
180
6
0
13 Feb 2025
Investigating Compositional Reasoning in Time Series Foundation Models
Willa Potosnak
Cristian Challu
Mononito Goswami
Kin G. Olivares
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLMAI4TSLRM
127
2
0
09 Feb 2025
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
Wei Fan
Jingru Fei
Dingyu Guo
Kun Yi
Xiaozhuang Song
Haolong Xiang
Hangting Ye
Min Li
AI4TS
152
2
0
06 Feb 2025
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Siru Zhong
Weilin Ruan
Ming Jin
Huan Li
Qingsong Wen
Yuxuan Liang
VLMAI4TS
207
9
0
06 Feb 2025
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
Yoontae Hwang
Yaxuan Kong
Stefan Zohren
Yongjae Lee
AIFin
85
2
0
02 Feb 2025
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging
Jingyuan Chen
Yuan Yao
Mie Anderson
Natalie Hauglund
Celia Kjaerby
Verena Untiet
Maiken Nedergaard
Jiebo Luo
153
2
0
28 Jan 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
Qisen Cheng
Jinming Xing
Chang Xue
Xiaoran Yang
AI4TS
108
6
0
28 Jan 2025
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting
Wenxuan Xie
Fanpu Cao
AI4TS
82
1
0
27 Jan 2025
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel
Richard Cornelius Suwandi
Zhidi Lin
Feng Yin
Zhiguo Wang
Sergios Theodoridis
GP
144
1
0
17 Jan 2025
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
Tianjin Huang
Ziquan Zhu
Gaojie Jin
Lu Liu
Zhangyang Wang
Shiwei Liu
119
6
0
12 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
Fuhang Liang
Rucong Xu
Deng Lin
OOD
95
0
0
10 Jan 2025
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Daojun Liang
Haixia Zhang
Dongfeng Yuan
AI4TS
80
0
0
09 Jan 2025
Koopman Learning with Episodic Memory
Koopman Learning with Episodic Memory
William T. Redman
Dean Huang
M. Fonoberova
Igor Mezić
97
0
0
08 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
Daojun Liang
Haixia Zhang
Dongfeng Yuan
UQCV
146
0
0
08 Jan 2025
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Yunshi Wen
Tengfei Ma
Tsui-Wei Weng
Lam M. Nguyen
A. Julius
AI4TS
88
3
0
08 Jan 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
145
14
0
03 Jan 2025
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Grégoire Danoy
Pascal Bouvry
TPMAI4TS
128
0
0
03 Jan 2025
DRDM: A Disentangled Representations Diffusion Model for Synthesizing
  Realistic Person Images
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images
Enbo Huang
Yuan Zhang
Faliang Huang
Guangyu Zhang
Yang Liu
DiffM
105
0
0
25 Dec 2024
GG-SSMs: Graph-Generating State Space Models
GG-SSMs: Graph-Generating State Space Models
Nikola Zubić
Davide Scaramuzza
Mamba
203
1
0
17 Dec 2024
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
472
0
0
26 Nov 2024
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Yuan Yuan
Jingtao Ding
Chonghua Han
Depeng Jin
Yong Li
Yong Li
AI4TSAI4CE
195
2
0
20 Nov 2024
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
Haoxin Liu
Chenghao Liu
B. Prakash
AI4TSLRM
168
12
0
09 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
Yanlong Wang
Jinfeng Xu
Fei Ma
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
124
1
0
03 Nov 2024
LSEAttention is All You Need for Time Series Forecasting
LSEAttention is All You Need for Time Series Forecasting
Dizhen Liang
AI4TS
83
0
0
31 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
538
1
0
28 Oct 2024
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Xi Zhang
Yuan Pu
Yuki Kawamura
Andrew Loza
Yoshua Bengio
Dennis L. Shung
Alexander Tong
OODAI4TSMedIm
130
9
0
28 Oct 2024
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Aosong Feng
Rex Ying
Leandros Tassiulas
58
2
0
28 Oct 2024
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series
  Forecasting
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting
Yuhua Liao
Zetian Wang
Peng Wei
Qiangqiang Nie
Zhenhua Zhang
AI4TS
38
0
0
24 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
474
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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
116
18
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FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model
Haoye Chai
Shiyuan Zhang
Xiaoqian Qi
Yong Li
175
1
0
20 Oct 2024
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