ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.14730
  4. Cited By
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
Human Locomotion Implicit Modeling Based Real-Time Gait Phase Estimation
Human Locomotion Implicit Modeling Based Real-Time Gait Phase Estimation
Yuanlong Ji
Xingbang Yang
Ruoqi Zhao
Qihan Ye
Quan Zheng
Yubo Fan
32
0
0
18 Jun 2025
Forecasting the spatiotemporal evolution of fluid-induced microearthquakes with deep learning
Forecasting the spatiotemporal evolution of fluid-induced microearthquakes with deep learning
Jaehong Chung
Michael Manga
Timothy Kneafsey
T. Mukerji
Mengsu Hu
10
0
0
17 Jun 2025
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
Yitian Zhang
Liheng Ma
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
AI4TS
41
0
0
17 Jun 2025
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
Zhongzheng Qiao
Chenghao Liu
Y. Zhang
Ming Jin
Quang Pham
Qingsong Wen
P.N. Suganthan
Xudong Jiang
Savitha Ramasamy
AI4TSAI4CE
22
0
0
17 Jun 2025
Forecast-Then-Optimize Deep Learning Methods
Forecast-Then-Optimize Deep Learning Methods
Jinhang Jiang
Nan Wu
Ben Liu
Mei Feng
Xin Ji
Karthik Srinivasan
AI4TS
31
0
0
16 Jun 2025
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
Kai Tang
Ji Zhang
Hua Meng
Minbo Ma
Qi Xiong
Jie Xu
Tianrui Li
Tianrui Li
AI4TS
29
0
0
16 Jun 2025
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting
Shaoyuan Huang
Tiancheng Zhang
Zhongtian Zhang
Xiaofei Wang
Lanjun Wang
Xin Wang
AI4TS
19
0
0
15 Jun 2025
A Review of the Long Horizon Forecasting Problem in Time Series Analysis
A Review of the Long Horizon Forecasting Problem in Time Series Analysis
Hans Krupakar
Kandappan V A
AI4TS
22
0
0
15 Jun 2025
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
Zijian Wang
Peng Tao
Luonan Chen
AI4TSAI4CE
18
0
0
13 Jun 2025
Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs
Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs
Wei Li
Yunyao Cheng
Xinli Hao
Chaohong Ma
Yuxuan Liang
Bin Yang
Christian S.Jensen
Xiaofeng Meng
AI4TS
37
0
0
13 Jun 2025
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
Ching Chang
Ming-Chih Lo
Wen-Chih Peng
Tien-Fu Chen
AI4TS
49
0
0
12 Jun 2025
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
Yucong Luo
Yitong Zhou
Mingyue Cheng
Jiahao Wang
Daoyu Wang
Tingyue Pan
Jintao Zhang
AI4TSLRM
117
0
0
12 Jun 2025
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
Simon Roschmann
Quentin Bouniot
Vasilii Feofanov
I. Redko
Zeynep Akata
AI4TS
41
0
0
10 Jun 2025
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting
Hang Ye
Gaoxiang Duan
Haoran Zeng
Yangxin Zhu
Lingxue Meng
Xiaoying Zheng
Yongxin Zhu
AI4TS
34
0
0
10 Jun 2025
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
Jialin Chen
Ziyu Zhao
Gaukhar Nurbek
Aosong Feng
Ali Maatouk
Leandros Tassiulas
Yifeng Gao
Rex Ying
AI4TS
35
0
0
10 Jun 2025
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Jinkwan Jang
Hyungjin Park
Jinmyeong Choi
Taesup Kim
AI4TS
37
0
0
10 Jun 2025
MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion
MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion
Franck Meyer
Kyunghoon Hur
Edward Choi
20
0
0
10 Jun 2025
MIRA: Medical Time Series Foundation Model for Real-World Health Data
MIRA: Medical Time Series Foundation Model for Real-World Health Data
Hao Li
Bowen Deng
Chang Xu
Zhiyuan Feng
Viktor Schlegel
...
Yizheng Sun
Jingyuan Sun
Kailai Yang
Yiyao Yu
Jiang Bian
AI4TSOODAI4CE
51
0
0
09 Jun 2025
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
Adrien Petralia
Philippe Charpentier
Youssef Kadhi
Themis Palpanas
43
0
0
06 Jun 2025
LightGTS: A Lightweight General Time Series Forecasting Model
LightGTS: A Lightweight General Time Series Forecasting Model
Yihang Wang
Yuying Qiu
Peng Chen
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TSVLM
62
1
0
06 Jun 2025
LETS Forecast: Learning Embedology for Time Series Forecasting
LETS Forecast: Learning Embedology for Time Series Forecasting
Abrar Majeedi
Viswanatha Reddy Gajjala
Satya Sai Srinath Namburi Gnvv
Nada Magdi Elkordi
Yin Li
AI4TS
27
0
0
06 Jun 2025
FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting
FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting
Yash Vijay
Harini Subramanyan
AI4TS
42
0
0
05 Jun 2025
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model
Yuxuan Chen
Haipeng Xie
DiffM
69
0
0
04 Jun 2025
Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies
Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies
Qiwen Zhang
AI4TS
7
0
0
04 Jun 2025
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
D. Kimura
Tomonori Izumitani
Hisashi Kashima
AI4TS
47
0
0
03 Jun 2025
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
Andreas Auer
Raghul Parthipan
Pedro Mercado
Abdul Fatir Ansari
Lorenzo Stella
Bernie Wang
Michael Bohlke-Schneider
Syama Sundar Rangapuram
AI4TS
67
0
0
03 Jun 2025
MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements
MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements
Howon Ryu
Y. Chen
Yacun Wang
Andrea Z. LaCroix
Chongzhi Di
L. Natarajan
Yu Wang
Jingjing Zou
26
0
0
02 Jun 2025
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
Jiankai Zheng
Liang Xie
AI4TS
35
0
0
01 Jun 2025
HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset
HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset
Shengkun Wang
Yanshen Sun
F. Chen
Linhan Wang
Naren Ramakrishnan
Chang-Tien Lu
Yinlin Chen
AI4TS
30
0
0
01 Jun 2025
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification
Ming Hu
Jianfu Yin
Mingyu Dou
Yuqi Wang
Ruochen Dang
Siyi Liang
Cong Hu
Yao Wang
Bingliang Hu
Quan Wang
AI4TS
30
0
0
31 May 2025
Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs
Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs
Payal Mohapatra
Akash Pandey
Xiaoyuan Zhang
Qi Zhu
AuLLM
32
0
0
30 May 2025
Binary Cumulative Encoding meets Time Series Forecasting
Binary Cumulative Encoding meets Time Series Forecasting
Andrei Chernov
Vitaliy Pozdnyakov
Ilya Makarov
AI4TS
51
0
0
30 May 2025
Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
Fuyuan Lyu
Linfeng Du
Yunpeng Weng
Qiufang Ying
Zhiyan Xu
Wen Zou
Haolun Wu
Xiuqiang He
Xing Tang
AI4TS
68
0
0
30 May 2025
Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
Chang Liu
Bohao Zhao
Jingtao Ding
Huandong Wang
Yong Li
MambaAI4CE
34
0
0
29 May 2025
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
K2K^2K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
Xingjian Wu
Xiangfei Qiu
Hongfan Gao
Jilin Hu
Bin Yang
Chenjuan Guo
AI4TS
74
1
0
29 May 2025
Non-collective Calibrating Strategy for Time Series Forecasting
Non-collective Calibrating Strategy for Time Series Forecasting
Bin Wang
Yongqi Han
Minbo Ma
Tianrui Li
Junbo Zhang
Feng Hong
Yanwei Yu
AI4TS
51
0
0
29 May 2025
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer
Patrick Podest
Daniel Klotz
Sebastian Böck
Günter Klambauer
Sepp Hochreiter
AI4TS
25
0
0
29 May 2025
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
Mert Onur Cakiroglu
Idil Bilge Altun
Hasan Kurban
Elham Buxton
Mehmet Dalkilic
AI4TS
17
0
0
28 May 2025
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting
Tianxiang Zhan
Ming Jin
Yuanpeng He
Yuxuan Liang
Yong Deng
Shirui Pan
AI4TSKELM
17
0
0
28 May 2025
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model
Jintao Zhang
Zirui Liu
Mingyue Cheng
Shilong Zhang
Tingyue Pan
Qi Liu
Yanhu Xie
37
0
0
28 May 2025
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage
Xuanle Zhao
Zilin Sang
Yuxuan Li
Qi Shi
Shuo Wang
Duzhen Zhang
Xu Han
Zhiyuan Liu
Maosong Sun
Maosong Sun
89
1
0
27 May 2025
PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series
PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series
Haobo Li
Eunseo Jung
Zixin Chen
Zhaowei Wang
Yueya Wang
Huamin Qu
Alexis Kai Hon Lau
24
0
0
27 May 2025
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
Xiaowen Ma
Zhenliang Ni
Shuai Xiao
Xinghao Chen
AI4TS
40
0
0
27 May 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Zhining Liu
Ze Yang
Xiao Lin
Ruizhong Qiu
Tianxin Wei
Yada Zhu
Hendrik Hamann
Jingrui He
Hanghang Tong
AI4TS
89
0
0
24 May 2025
FRIREN: Beyond Trajectories -- A Spectral Lens on Time
FRIREN: Beyond Trajectories -- A Spectral Lens on Time
Qilin Wang
AI4TS
72
0
0
23 May 2025
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models
Zezhi Shao
Yujie Li
Fei Wang
Chengqing Yu
Yisong Fu
Tangwen Qian
Bin Xu
Boyu Diao
Yongjun Xu
Xueqi Cheng
AI4TS
82
0
0
23 May 2025
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
Yuting Huang
Ziquan Fang
Zhihao Zeng
Lu Chen
Yunjun Gao
197
0
0
23 May 2025
When can isotropy help adapt LLMs' next word prediction to numerical domains?
When can isotropy help adapt LLMs' next word prediction to numerical domains?
Rashed Shelim
Shengzhe Xu
Walid Saad
Naren Ramakrishnan
39
0
0
22 May 2025
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges
Feifei Shi
Xueyan Yin
Kang Wang
Wanyu Tu
Qifu Sun
Huansheng Ning
AI4TS
22
0
0
21 May 2025
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
Yuante Li
Xu Yang
Xiao Yang
Minrui Xu
Xisen Wang
Weiqing Liu
Jiang Bian
AIFin
261
0
0
21 May 2025
12345
Next