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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 / 125 papers shown
Title
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
Boshi Gao
Qingjian Ni
Fanbo Ju
Yu Chen
Ziqi Zhao
AI4TS
9
0
0
13 May 2025
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Yiming Niu
Jinliang Deng
L. Zhang
Zimu Zhou
Yongxin Tong
AI4TS
21
0
0
09 May 2025
Retrieval Augmented Time Series Forecasting
Retrieval Augmented Time Series Forecasting
Sungwon Han
Seungeon Lee
M. Cha
Sercan Ö. Arik
Jinsung Yoon
AI4TS
31
0
0
07 May 2025
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Weiwei Ye
Zhuopeng Xu
Ning Gui
DiffM
51
0
0
07 May 2025
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
Y. Wang
Xiaofeng Hu
Xiaojian Cui
Kai Wang
AI4TS
24
0
0
07 May 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
Y. Wang
Y. Liu
Xiaoyi Duan
Kai Wang
AI4TS
24
0
0
07 May 2025
LLM4FTS: Enhancing Large Language Models for Financial Time Series Prediction
LLM4FTS: Enhancing Large Language Models for Financial Time Series Prediction
Zian Liu
Renjun Jia
AI4TS
AIFin
43
0
0
05 May 2025
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting
Shiwei Guo
Z. Chen
Yupeng Ma
Yunfei Han
Yi Wang
AI4TS
71
0
0
05 May 2025
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
Chenxi Liu
Hao Miao
Qianxiong Xu
Shaowen Zhou
Cheng Long
Yan Zhao
Ziyue Li
Rui Zhao
AI4TS
33
1
0
04 May 2025
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
Wenfa Wu
Guanyu Zhang
Zheng Tan
Yi Wang
Hongsheng Qi
AI4TS
35
1
0
02 May 2025
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
Rahuul Rangaraj
Jimeng Shi
Azam Shirali
Rajendra Paudel
Yanzhao Wu
Giri Narasimhan
32
0
0
02 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Chengsen Wang
Q. Qi
J. Wang
Haifeng Sun
Zirui Zhuang
J. Liao
AI4TS
42
0
0
01 May 2025
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Yu-Hsiang Lan
Anton Alyakin
AI4TS
26
0
0
01 May 2025
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
Shingo Higashiguchi
Yasuko Matsubara
Koki Kawabata
Taichi Murayama
Yasushi Sakurai
AI4TS
26
0
0
01 May 2025
TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data
TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data
Qi. Wang
Xiao Zhang
Mingyi Li
Yuan Yuan
Mengbai Xiao
Fuzhen Zhuang
Dongxiao Yu
24
0
0
29 Apr 2025
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Jinzhao Zhou
Zehong Cao
Yiqun Duan
Connor Barkley
Daniel Leong
...
Ziyi Zhao
T. Do
Yu-Cheng Chang
Sheng-Fu Liang
Chin-Teng Lin
32
0
0
29 Apr 2025
Multimodal Conditioned Diffusive Time Series Forecasting
Multimodal Conditioned Diffusive Time Series Forecasting
Chen Su
Yuanhe Tian
Yan Song
DiffM
AI4TS
57
0
0
28 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
62
0
0
26 Apr 2025
QuantBench: Benchmarking AI Methods for Quantitative Investment
QuantBench: Benchmarking AI Methods for Quantitative Investment
Saizhuo Wang
Hao Kong
Jiadong Guo
Fengrui Hua
Yiyan Qi
Wanyun Zhou
Jiahao Zheng
Xinyu Wang
Lionel M. Ni
Jian Guo
91
1
0
24 Apr 2025
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives
Junhong Lai
Jiyu Wei
Lin Yao
Yueming Wang
38
0
0
24 Apr 2025
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
Mert Sonmezer
Seyda Ertekin
AI4TS
24
0
0
24 Apr 2025
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
Ziran Liang
Rui An
Wenqi Fan
Yanghui Rao
Yuxuan Liang
AI4TS
42
0
0
23 Apr 2025
Improving Significant Wave Height Prediction Using Chronos Models
Improving Significant Wave Height Prediction Using Chronos Models
Yilin Zhai
Hongyuan Shi
Chao Zhan
Qing Wang
Zaijin You
Nan Wang
AI4Cl
AI4CE
42
0
0
23 Apr 2025
Transformer representation learning is necessary for dynamic multi-modal physiological data on small-cohort patients
Transformer representation learning is necessary for dynamic multi-modal physiological data on small-cohort patients
Bingxu Wang
Kunzhi Cai
Yuqi Zhang
Yachong Guo
Zeyi Zhou
Wenjiao Li
Yachong Guo
Wei Wang
Qing Zhou
MedIm
29
0
0
05 Apr 2025
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay
Hussain Jagirdar
Rukma Talwadker
Aditya Pareek
Pulkit Agrawal
Tridib Mukherjee
AI4TS
36
1
0
03 Apr 2025
ModelRadar: Aspect-based Forecast Evaluation
ModelRadar: Aspect-based Forecast Evaluation
Vítor Cerqueira
Luis Roque
Carlos Soares
49
0
0
31 Mar 2025
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting
Sanjay Chakraborty
Fredrik Heintz
AI4TS
AIFin
35
0
0
31 Mar 2025
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Ashraf Ghiye
Baptiste Barreau
Laurent Carlier
Michalis Vazirgiannis
76
0
0
18 Mar 2025
BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
Jian Qian
Teck Lun Goh
Bingyu Xie
Chengyao Zhu
Biao Wan
Yawen Guan
Rachel Ding Chen
Patrick Chiang
Mamba
45
0
0
14 Mar 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li
Yu Huang
Chang Xu
Viktor Schlegel
Ren-He Jiang
R. Batista-Navarro
Goran Nenadic
Jiang Bian
DiffM
AI4CE
91
3
0
04 Mar 2025
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
Yanhong Li
D. Anastasiu
AI4TS
36
0
0
27 Feb 2025
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
J. T. Wang
40
0
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
43
0
0
24 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
34
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
82
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 (Allen) Zhang
Gaojie Jin
X. Li
...
Tianlong Chen
Lu Liu
Qingsong Wen
Zhangyang Wang
Shiwei Liu
MQ
33
0
0
24 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
48
2
0
22 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
36
0
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
43
0
0
18 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
56
0
0
17 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
65
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
67
1
0
16 Feb 2025
Collaborative Deterministic-Diffusion Model for Probabilistic Spatiotemporal Prediction
Collaborative Deterministic-Diffusion Model for Probabilistic Spatiotemporal Prediction
Zhi Sheng
Yuan Yuan
Yudi Zhang
Depeng Jin
Yong Li
DiffM
AI4CE
46
0
0
16 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
93
1
0
06 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
41
1
0
28 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
62
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
36
1
0
12 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
33
0
0
09 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
TPM
AI4TS
40
0
0
03 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
40
12
0
03 Jan 2025
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