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
Transformer Multivariate Forecasting: Less is More? Jingjing Xu Caesar Wu Yuan-Fang Li Pascal Bouvry AI4TS 29 4 0 30 Dec 2023
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction Dennis Wu Jerry Yao-Chieh Hu Weijian Li Bo-Yu Chen Han Liu AI4TS 24 32 0 28 Dec 2023
Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild Yifeng Huang Duc Duy Nguyen Lam Nguyen Cuong Pham Minh Hoai 24 1 0 28 Dec 2023
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting Zhihao Yu Liantao Ma Yasha Wang Junfeng Zhao AI4TS 18 0 0 28 Dec 2023
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting Weijun Chen Heyuan Wang Ye Tian Shijie Guan Ning Liu AI4TS 30 1 0 27 Dec 2023
Learning to Embed Time Series Patches Independently Seunghan Lee Taeyoung Park Kibok Lee SSL AI4TS 28 27 0 27 Dec 2023
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning Jiexi Liu Songcan Chen AI4TS 21 32 0 25 Dec 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 38 3 0 22 Dec 2023
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting Aiyinsi Zuo Haixi Zhang Zirui Li Ce Zheng AI4TS 24 1 0 22 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 26 9 0 22 Dec 2023
Fine-grained Forecasting Models Via Gaussian Process Blurring Effect Sepideh Koohfar Laura Dietz DiffM AI4TS 27 0 0 21 Dec 2023
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series Adrien Petralia Philippe Charpentier Themis Palpanas AI4TS 29 1 0 17 Dec 2023
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting Yanhong Li Jack L. Xu D. Anastasiu AI4TS 43 11 0 14 Dec 2023
Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI Kai Huang Boyuan Yang Wei Gao 37 1 0 13 Dec 2023
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting Yifan Zhang Rui Wu S. Dascalu Frederick C. Harris AI4TS 55 3 0 11 Dec 2023
Mixture-of-Linear-Experts for Long-term Time Series Forecasting Ronghao Ni Zinan Lin Shuaiqi Wang Giulia Fanti AI4TS 26 15 0 11 Dec 2023
TPRNN: A Top-Down Pyramidal Recurrent Neural Network for Time Series Forecasting Ling Chen Jiahua Cui AI4TS 22 1 0 11 Dec 2023
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu AI4TS 13 4 0 10 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 33 1 0 05 Dec 2023
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach Jinguo Cheng Ke Li Keli Zhang Lijun Sun Junchi Yan Yuankai Wu AI4TS 33 2 0 04 Dec 2023
Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting Junkai Mao Yuexing Han Gouhei Tanaka Bing Wang AI4TS 19 0 0 01 Dec 2023
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting Linfeng Du Ji Xin Alex Labach S. Zuberi M. Volkovs Rahul G. Krishnan AI4TS 27 0 0 30 Nov 2023
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 68 2 0 24 Nov 2023
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting Juhyeon Kim Hyungeun Lee Seungwon Yu Ung Hwang Wooyeol Jung Miseon Park Kijung Yoon AI4TS 11 2 0 21 Nov 2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series Trang H. Tran Lam M. Nguyen Kyongmin Yeo Nam H. Nguyen Roman Vaculin AI4TS 24 0 0 21 Nov 2023
Correlated Attention in Transformers for Multivariate Time Series Quang Minh Nguyen Lam M. Nguyen Subhro Das AI4TS 21 0 0 20 Nov 2023
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss Site Mo Haoxin Wang Bixiong Li Songhai Fan Yuankai Wu Xianggen Liu AI4TS 28 9 0 19 Nov 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi Qi Zhang Wei Fan Hui He Liang Hu Pengyang Wang Ning An Longbin Cao ZhenDong Niu AI4TS 45 106 0 10 Nov 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 61 124 0 10 Nov 2023
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations S. Lim Jaehyeon Park Seojin Kim Hyowon Wi Haksoo Lim Jinsung Jeon Jeongwhan Choi Noseong Park AI4TS AI4CE 21 2 0 08 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting Yitian Zhang Liheng Ma Soumyasundar Pal Yingxue Zhang Mark J. Coates AI4TS 33 27 0 07 Nov 2023
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization Dongcheng Zou Senzhang Wang Xuefeng Li Hao Peng Yuandong Wang Chunyang Liu Kehua Sheng Bo-Wen Zhang AI4TS 36 20 0 06 Nov 2023
Causal Models Applied to the Patterns of Human Migration due to Climate Change K. Lai Svetlana Yanushkevich 25 2 0 03 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley Gurnoor Singh Khurana Chirag Mohapatra Siddartha Naidu Colin White AI4TS 86 59 0 03 Nov 2023
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models Valentino Assandri Sam Heshmati Burhaneddin Yaman Anton Iakovlev Ariel Emiliano Repetur 47 0 0 02 Nov 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 28 30 0 31 Oct 2023
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data Santosh Palaskar Vijay Ekambaram Arindam Jati Neelamadhav Gantayat Avirup Saha ... P. Mohapatra Harshit Kumar Jayant Kalagnanam N. Hemachandra N. Rangaraj 28 4 0 31 Oct 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 42 4 0 31 Oct 2023
Utilizing Language Models for Energy Load Forecasting Hao Xue Flora D. Salim 11 10 0 26 Oct 2023
OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud Ding Zou Wei Lu Zhibo Zhu Xingyu Lu Jun-ping Zhou Xiaojin Wang Kangyu Liu Haiqing Wang Kefan Wang Renen Sun 29 0 0 26 Oct 2023
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift Mouxiang Chen Lefei Shen Han Fu Zhuo Li Jianling Sun Chenghao Liu AI4TS 22 3 0 23 Oct 2023
Is Channel Independent strategy optimal for Time Series Forecasting? Peiwen Yuan Changsheng Zhu AI4TS 39 3 0 18 Oct 2023
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis Shuhan Zhong Sizhe Song Weipeng Zhuo Guanyao Li Yang Liu S.-H. Gary Chan AI4TS 25 18 0 18 Oct 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting Xu Liu Junfeng Hu Yuan N. Li Shizhe Diao Keli Zhang Bryan Hooi Roger Zimmermann AI4TS 27 77 0 15 Oct 2023
A decoder-only foundation model for time-series forecasting Abhimanyu Das Weihao Kong Rajat Sen Yichen Zhou AI4TS AI4CE 21 188 0 14 Oct 2023
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning Jiecheng Lu Xu Han Shihao Yang AI4TS 21 2 0 14 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul Arjun Ashok Andrew Robert Williams Hena Ghonia Rishika Bhagwatkar ... Nicolas Chapados Alexandre Drouin Valentina Zantedeschi Yuriy Nevmyvaka Irina Rish AI4TS BDL 34 44 0 12 Oct 2023
Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver Marc Finzi Shikai Qiu Andrew Gordon Wilson AI4TS 33 322 0 11 Oct 2023
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons Jiawen Zhang Xumeng Wen Zhenwei Zhang Shun Zheng Jia Li Jiang Bian AI4TS 43 0 0 11 Oct 2023
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining Chenguo Lin Xumeng Wen Wei Cao Congrui Huang Jiang Bian Stephen Lin Zhirong Wu AI4TS 44 4 0 11 Oct 2023