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

27 November 2022

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

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Title
PPGF: Probability Pattern-Guided Time Series Forecasting Yanru Sun Zongxia Xie Haoyu Xing Hualong Yu Q. Hu AI4TS 48 0 0 18 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts Thomas L. Lee William Toner Rajkarn Singh Artjom Joosem Martin Asenov AI4TS 38 0 0 18 Feb 2025
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 67 1 0 17 Feb 2025
Strada-LLM: Graph LLM for traffic prediction Seyed Mohamad Moghadas Yangxintong Lyu Bruno Cornelis Alexandre Alahi Adrian Munteanu AI4TS 63 0 0 17 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models Weilin Ruan Siru Zhong Haomin Wen Keli Zhang AI4TS 79 1 0 16 Feb 2025
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems 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 Wei Fan Jingru Fei Dingyu Guo Kun Yi Xiaozhuang Song Haolong Xiang Hangting Ye Min Li AI4TS 93 1 0 06 Feb 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining Qisen Cheng Jinming Xing Chang Xue Xiaoran Yang AI4TS 33 3 0 28 Jan 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 49 1 0 28 Jan 2025
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel Richard Cornelius Suwandi Zhidi Lin Feng Yin Zhiguo Wang Sergios Theodoridis GP 67 1 0 17 Jan 2025
Neural equilibria for long-term prediction of nonlinear conservation laws Jose Antonio Lara Benitez Junyi Guo Kareem Hegazy Ivan Dokmanić Michael W. Mahoney Maarten V. de Hoop 38 0 0 12 Jan 2025
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training Tianjin Huang Ziquan Zhu Gaojie Jin Lu Liu Zhangyang Wang Shiwei Liu 44 1 0 12 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks Fuhang Liang Rucong Xu Deng Lin OOD 38 0 0 10 Jan 2025
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Daojun Liang Haixia Zhang Dongfeng Yuan AI4TS 40 0 0 09 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis Sabera Talukder Yisong Yue Georgia Gkioxari AI4TS 48 12 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 TPM AI4TS 45 0 0 03 Jan 2025
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images Enbo Huang Yuan Zhang Faliang Huang Guangyu Zhang Yong-Jin Liu DiffM 39 0 0 25 Dec 2024
GG-SSMs: Graph-Generating State Space Models Nikola Zubić Davide Scaramuzza Mamba 93 1 0 17 Dec 2024
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 194 0 0 26 Nov 2024
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction Yuan Yuan Jingtao Ding Chonghua Han Depeng Jin Yong Li Yong Li AI4TS AI4CE 84 1 0 20 Nov 2024
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization Haoxin Liu Chenghao Liu B. Prakash AI4TS LRM 93 7 0 09 Nov 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Jiawen Zhang Shun Zheng Xumeng Wen Xiaofang Zhou Jiang Bian Jiajun Li AI4TS 44 3 0 04 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting Yanlong Wang J. Xu Fei Ma Shao-Lun Huang Danny Dongning Sun Xiao-Ping Zhang AI4TS 45 1 0 03 Nov 2024
LSEAttention is All You Need for Time Series Forecasting Dizhen Liang AI4TS 37 0 0 31 Oct 2024
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting Suhan Guo Jiahong Deng Yi Wei Hui Dou Furao Shen Jian Zhao AI4TS 162 0 0 31 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 169 0 0 28 Oct 2024
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 156 0 0 22 Oct 2024
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 40 11 0 21 Oct 2024
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model Haoye Chai Shiyuan Zhang Xiaoqian Qi Yong Li 32 0 0 20 Oct 2024
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study Robert Spencer Surangika Ranathunga Mikael Boulic Andries van Heerden AI4TS 163 0 0 18 Oct 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics L. Zheng Zhengyang Li Chang Dong W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen AI4TS 33 1 0 16 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao Chao-Han Huck Yang Renhe Jiang Keli Zhang Ming Jin Shirui Pan AI4TS AI4CE 44 7 0 16 Oct 2024
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching Xingjian Wu Xiangfei Qiu Zhengyu Li Yihang Wang Jilin Hu Chenjuan Guo Hui Xiong Bin Yang AI4TS 61 12 0 16 Oct 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba Li Wu Wenbin Pei Jiulong Jiao Qiang Zhang Mamba AI4TS 38 2 0 15 Oct 2024
Quadratic Gating Functions in Mixture of Experts: A Statistical Insight Pedram Akbarian Huy Le Nguyen Xing Han Nhat Ho MoE 42 0 0 15 Oct 2024
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations M. Germán-Morales A. J. Rivera-Rivas M. J. del Jesus Díaz C. J. Carmona AI4TS AI4CE 56 0 0 15 Oct 2024
SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity Recognition Zechen Li Shohreh Deldari Linyao Chen Hao Xue Flora D. Salim 42 6 0 14 Oct 2024
Generalizable autoregressive modeling of time series through functional narratives Ran Liu Wenrui Ma Ellen L. Zippi Hadi Pouransari Jingyun Xiao ... Behrooz Mahasseni Juri Minxha Erdrin Azemi Eva L. Dyer Ali Moin AI4TS 35 1 0 10 Oct 2024
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller M. Menten Daniel Rueckert AI4TS 51 1 0 09 Oct 2024
Automated Detection of Defects on Metal Surfaces using Vision Transformers Toqa Alaa Mostafa Kotb Arwa Zakaria Mariam Diab Walid Gomaa 25 1 0 06 Oct 2024
Enhanced Transformer architecture for in-context learning of dynamical systems Matteo Rufolo Dario Piga Gabriele Maroni Marco Forgione 31 0 0 04 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Lüdke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 45 4 0 03 Oct 2024
Repurposing Foundation Model for Generalizable Medical Time Series Classification Nan Huang Haishuai Wang Zihuai He Marinka Zitnik Xiang Zhang AI4TS OOD 31 1 0 03 Oct 2024
Tuning Frequency Bias of State Space Models Annan Yu Dongwei Lyu S. H. Lim Michael W. Mahoney N. Benjamin Erichson 47 3 0 02 Oct 2024
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities Ezra Karger Houtan Bastani Chen Yueh-Han Zachary Jacobs Danny Halawi Fred Zhang P. Tetlock 38 7 0 30 Sep 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 4 0 24 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 43 28 0 24 Sep 2024
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding Xiaobao Song Hao Wang Liwei Deng Yuxin He Wenming Cao Chi-Sing Leungc AI4TS 35 0 0 17 Sep 2024
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach Tong Nie Junlin He Yuewen Mei Guoyang Qin Guilong Li Jian Sun Wei Ma 40 3 0 30 Aug 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong Zepu Wang Yuqi Nie Tian Zhou Stefan Zohren Yuxuan Liang Peng Sun Qingsong Wen AI4TS 27 12 0 19 Aug 2024