Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

24 June 2021

Papers citing "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting"

50 / 701 papers shown

Title
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach Saud Alghumayjan Jiajun Han Ningkun Zheng Ming Yi Bolun Xu 38 1 0 26 Apr 2024
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges Badri N. Patro Vijay Srinivas Agneeswaran Mamba 46 38 0 24 Apr 2024
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting Aobo Liang Xingguo Jiang Y. Sun Xiaohou Shi Ke Li AI4TS Mamba 26 5 0 24 Apr 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion Lu Han Xu-Yang Chen Han-Jia Ye De-Chuan Zhan AI4TS 38 24 0 22 Apr 2024
Variational quantization for state space models Etienne David Jean Bellot Sylvain Le Corff AI4TS BDL 33 1 0 17 Apr 2024
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach Qiuyi Hong Fanlin Meng Felipe Maldonado AI4TS 26 1 0 16 Apr 2024
TSLANet: Rethinking Transformers for Time Series Representation Learning Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu Xiaoli Li AI4TS AIFin 36 37 0 12 Apr 2024
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 2 0 08 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen J. E. Lenssen Aosong Feng Weihua Hu Matthias Fey Leandros Tassiulas J. Leskovec Rex Ying AI4TS 34 10 0 31 Mar 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods Xiangfei Qiu Jilin Hu Lekui Zhou Xingjian Wu Junyang Du ... Chenjuan Guo Aoying Zhou Christian S. Jensen Zhenli Sheng Bin Yang AI4TS 57 63 0 29 Mar 2024
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection Ali Behrouz Michele Santacatterina Ramin Zabih 47 31 0 29 Mar 2024
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis Badri N. Patro Suhas Ranganath Vinay P. Namboodiri Vijay Srinivas Agneeswaran 43 2 0 26 Mar 2024
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting Xiaobing Yuan Ling Chen AI4TS 31 0 0 26 Mar 2024
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series Badri N. Patro Vijay Srinivas Agneeswaran Mamba 59 50 0 22 Mar 2024
An Analysis of Linear Time Series Forecasting Models William Toner Luke Darlow AI4TS 45 23 0 21 Mar 2024
Is Mamba Effective for Time Series Forecasting? Zihan Wang Fanheng Kong Shi Feng Ming Wang Xiaocui Yang Han Zhao Daling Wang Yifei Zhang Mamba AI4TS 32 56 0 17 Mar 2024
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting Md. Atik Ahamed Qiang Cheng Mamba AI4TS 69 47 0 14 Mar 2024
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer Wenyong Han Tao Zhu L. Chen Huansheng Ning Yang Luo Yaping Wan AI4TS 35 9 0 14 Mar 2024
Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting G. P. Nason James L. Wei AI4TS 34 1 0 13 Mar 2024
Caformer: Rethinking Time Series Analysis from Causal Perspective Kexuan Zhang Xiaobei Zou Yang Tang AI4TS 37 1 0 13 Mar 2024
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
$$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting$ $\textbf{S}^2$ IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting Zijie Pan Yushan Jiang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song AI4TS 47 6 0 09 Mar 2024
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
tsGT: Stochastic Time Series Modeling With Transformer Lukasz Kuciñski Witold Drzewakowski Mateusz Olko Piotr Kozakowski Lukasz Maziarka Marta Emilia Nowakowska Lukasz Kaiser Piotr Milo's 49 1 0 08 Mar 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting Muyao Wang Wenchao Chen Bo Chen 29 2 0 08 Mar 2024
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting Kiran Madhusudhanan Shayan Jawed Lars Schmidt-Thieme BDL AI4TS 42 0 0 07 Mar 2024
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting Tianfeng Wang Gaojie Cui AI4TS 50 0 0 07 Mar 2024
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data Yucheng Wang Ruibing Jin Min-man Wu Xiaoli Li Lihua Xie Zhenghua Chen AI4TS 35 4 0 06 Mar 2024
Prompt Mining for Language-based Human Mobility Forecasting Hao Xue Tianye Tang Ali Payani Flora D. Salim AI4TS 89 5 0 06 Mar 2024
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting Ce Chi Xing Wang Kexin Yang Zhiyan Song Di Jin Lin Zhu Chao Deng Junlan Feng AI4TS 40 0 0 05 Mar 2024
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize? Kseniia Kuvshinova Olga Tsymboi Alina Kostromina Dmitry Simakov Elizaveta Kovtun AI4TS 26 2 0 04 Mar 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables Jiecheng Lu Xu Han Yan Sun Shihao Yang AI4TS 29 16 0 04 Mar 2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis Mingyue Cheng Jiqian Yang Tingyue Pan Qi Liu Zhi Li AI4TS 36 12 0 03 Mar 2024
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting Asif Iqbal P. Gope Biplab Sikdar 28 1 0 03 Mar 2024
ARED: Argentina Real Estate Dataset Iván Belenky 30 0 0 01 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 38 15 0 29 Feb 2024
SFTformer: A Spatial-Frequency-Temporal Correlation-Decoupling Transformer for Radar Echo Extrapolation Liangyu Xu Wanxuan Lu Hongfeng Yu Fanglong Yao Xian Sun Kun Fu 45 5 0 28 Feb 2024
Hybrid $^2$ Neural ODE Causal Modeling and an Application to Glycemic Response Bob Junyi Zou Matthew E. Levine D. Zaharieva Ramesh Johari Emily Fox 41 4 0 27 Feb 2024
Generative Pretrained Hierarchical Transformer for Time Series Forecasting Zhiding Liu Jiqian Yang Mingyue Cheng Yucong Luo Zhi Li AI4TS 32 14 0 26 Feb 2024
Training Implicit Generative Models via an Invariant Statistical Loss José Manuel de Frutos Pablo M. Olmos M. Vázquez Joaquín Míguez SyDa GAN 38 1 0 26 Feb 2024
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations Shiyi Qi Zenglin Xu Yiduo Li Liangjiang Wen Qingsong Wen Qifan Wang Yuan Qi AI4TS AI4CE 39 0 0 25 Feb 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting Haoxin Liu Zhiyuan Zhao Jindong Wang Harshavardhan Kamarthi B. A. Prakash AI4TS LRM VLM 66 24 0 25 Feb 2024
Deep Coupling Network For Multivariate Time Series Forecasting Kun Yi Qi Zhang Hui He Kaize Shi Liang Hu Ning An ZhenDong Niu AI4TS 44 5 0 23 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 31 0 0 23 Feb 2024
Right on Time: Revising Time Series Models by Constraining their Explanations Maurice Kraus David Steinmann Antonia Wüst Andre Kokozinski Kristian Kersting AI4TS 40 4 0 20 Feb 2024
Structural Knowledge Informed Continual Multivariate Time Series Forecasting Zijie Pan Yushan Jiang Dongjin Song Sahil Garg Kashif Rasul Anderson Schneider Yuriy Nevmyvaka CLL AI4TS 40 3 0 20 Feb 2024
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling Guoqi Yu Jing Zou Xiaowei Hu Angelica I. Aviles-Rivero Jing Qin Shujun Wang AI4TS 35 13 0 20 Feb 2024
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation Zijian Li Ruichu Cai Zhenhui Yang Haiqin Huang Guan-Hong Chen Yifan Shen Zhengming Chen Xiangchen Song Kun Zhang OOD AI4TS 32 2 0 20 Feb 2024
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition Yuqi Jiang Yan Li Yize Chen AI4TS 24 2 0 18 Feb 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Jiaxi Hu Yuehong Hu Wei Chen Ming Jin Shirui Pan Qingsong Wen Keli Zhang AI4TS 35 9 0 18 Feb 2024