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
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 24 447 0 10 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis Zezhi Shao Fei Wang Yongjun Xu Wei Wei Chengqing Yu ... Guangyin Jin Xin Cao Gao Cong Christian S. Jensen Xueqi Cheng AI4TS 23 59 0 09 Oct 2023
Performative Time-Series Forecasting Zhiyuan Zhao Alexander Rodríguez B. Prakash AI4TS 32 4 0 09 Oct 2023
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain Gerald Woo Chenghao Liu Akshat Kumar Doyen Sahoo AI4TS AI4CE 33 12 0 08 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao Furong Jia Sercan Ö. Arik Tomas Pfister Yixiang Zheng Wen Ye Yan Liu AI4TS 35 123 0 08 Oct 2023
TimeGPT-1 Azul Garza Cristian Challu Max Mergenthaler-Canseco AI4TS 35 98 0 05 Oct 2023
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control L. Saad Saoud Irfan Hussain 35 2 0 03 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Keli Zhang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 53 358 0 03 Oct 2023
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series Arjun Ashok Étienne Marcotte Valentina Zantedeschi Nicolas Chapados Alexandre Drouin AI4TS 32 11 0 02 Oct 2023
Modality-aware Transformer for Financial Time series Forecasting Hajar Emami Xuan-Hong Dang Yousaf Shah Petros Zerfos AI4TS 40 0 0 02 Oct 2023
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting Zeying Gong Yujin Tang Junwei Liang KELM AI4TS 29 27 0 01 Oct 2023
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST Guoqi Yu Hailun Yao Huan Zheng Ximing Xu 31 0 0 26 Sep 2023
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data Zhichao Chen Leilei Ding Zhixuan Chu Yucheng Qi Jia-Bin Huang Hao Wang AI4TS 20 11 0 23 Sep 2023
Transformers versus LSTMs for electronic trading Paul Bilokon Yitao Qiu AI4TS AIFin 21 13 0 20 Sep 2023
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting Peiyuan Liu Beiliang Wu Naiqi Li Tao Dai Fengmao Lei Jigang Bao Yong Jiang Shutao Xia AI4TS 51 4 0 20 Sep 2023
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data Yucheng Wang Yuecong Xu Jianfei Yang Min-man Wu Xiaoli Li Lihua Xie Zhenghua Chen AI4TS 44 37 0 11 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation Siwei Zhang Yun Xiong Yao Zhang Xixi Wu Yiheng Sun Jiawei Zhang AI4TS 17 4 0 05 Sep 2023
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles Jiacong Xu Riley Kilfoyle Zixiang Xiong Ligang Lu AI4TS 16 1 0 04 Sep 2023
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting Yuxiao Luo Ziyu Lyu Xin Huang AI4TS 21 4 0 25 Aug 2023
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting Yifan Zhang Rui Wu S. Dascalu F. Harris AI4TS 32 17 0 23 Aug 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 37 51 0 22 Aug 2023
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal Hojoon Lee Hawon Jeong ByungKun Lee Kyungyup Lee Jaegul Choo AI4TS 19 5 0 21 Aug 2023
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting Hangcheng Liu Zheng Dong Renhe Jiang Jiewen Deng Jinliang Deng Quanjun Chen Xuan Song AI4TS 43 6 0 21 Aug 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction Kelvin J.L. Koa Yunshan Ma Ritchie Ng Tat-Seng Chua DiffM 24 23 0 18 Aug 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Ching Chang Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 38 46 0 16 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 37 115 0 16 Aug 2023
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting Zepu Wang Yuqi Nie Peng Sun Nam H. Nguyen John M. Mulvey H. Vincent Poor AI4TS 24 22 0 14 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 40 19 0 09 Aug 2023
Sparse Binary Transformers for Multivariate Time Series Modeling Matt Gorbett Hossein Shirazi I. Ray AI4TS 32 13 0 09 Aug 2023
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction Chengqing Yu Fei Wang Zezhi Shao Tao Sun Lin Wu Yongjun Xu AI4TS 32 74 0 07 Aug 2023
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation Vu Ngoc Tu V. Huynh Hyung-Jeong Yang M. Zaheer Shah Nawaz Karthik Nandakumar Soo-Hyung Kim 22 4 0 31 Jul 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 38 6 0 27 Jul 2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting Zezhi Shao Fei Wang Zhao Zhang Yuchen Fang G. Jin Yongjun Xu ViT AI4TS 35 5 0 27 Jul 2023
Meta-Transformer: A Unified Framework for Multimodal Learning Yiyuan Zhang Kaixiong Gong Kaipeng Zhang Hongsheng Li Yu Qiao Wanli Ouyang Xiangyu Yue 33 137 0 20 Jul 2023
Forecasting Early with Meta Learning Shayan Jawed Kiran Madhusudhanan Vijaya Krishna Yalavarthi Lars Schmidt-Thieme AI4TS 31 0 0 19 Jul 2023
Application of BERT in Wind Power Forecasting-Teletraan's Solution in Baidu KDD Cup 2022 Longxing Tan HONG-YI Yue 21 5 0 18 Jul 2023
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis Qing-Hong Chen Y. Zhang AI4TS 32 1 0 18 Jul 2023
GBT: Two-stage transformer framework for non-stationary time series forecasting Li Shen Yuning Wei Yangzhu Wang AI4TS 27 23 0 17 Jul 2023
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting Tianlong Zhao Xiang Ma Xue-mei Li Caiming Zhang AI4TS 27 2 0 13 Jul 2023
PePNet: A Periodicity-Perceived Workload Prediction Network Supporting Rare Occurrence of Heavy Workload Feiyi Chen Zhen Qin Hailiang Zhao Shuiguang Deng AI4TS 23 0 0 11 Jul 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 22 84 0 06 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 27 14 0 04 Jul 2023
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting Zhenwei Zhang Xin Wang Jingyuan Xie Heling Zhang Yuantao Gu AI4TS 29 7 0 04 Jul 2023
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 38 5 0 04 Jul 2023
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale Tong Nie Guoyang Qin Lijun Sun Wei Ma Yuewen Mei Jiangming Sun AI4TS 25 2 0 04 Jul 2023
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting Binqing Wu Ling-Hao Chen GNN AI4TS 31 3 0 02 Jul 2023
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting Nhat Tran Jack Xin AI4TS 33 6 0 02 Jul 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 26 0 0 30 Jun 2023
What Constitutes Good Contrastive Learning in Time-Series Forecasting? Chiyu Zhang Qi Yan Li Meng Tristan Sylvain AI4TS 23 1 0 21 Jun 2023
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data Wenbo Ge Pooia Lalbakhsh Leigh Isai Artem Lenskiy Hanna Suominen OOD 15 3 0 20 Jun 2023