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
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen Kan Ren Yansen Wang Yuchen Fang Weiwei Sun Dongsheng Li AI4TS 68 28 0 16 Feb 2024
Can Transformers Predict Vibrations? Fusataka Kuniyoshi Yoshihide Sawada 27 0 0 16 Feb 2024
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data Chin-Chia Michael Yeh Yujie Fan Xin Dai Uday Singh Saini Vivian Lai ... Huiyuan Chen Yan Zheng Zhongfang Zhuang Liang Wang Wei Zhang AI4TS 26 7 0 16 Feb 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention Romain Ilbert Ambroise Odonnat Vasilii Feofanov Aladin Virmaux Giuseppe Paolo Themis Palpanas I. Redko AI4TS 52 22 0 15 Feb 2024
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer Md Kowsher Abdul Rafae Khan Jia Xu 32 0 0 14 Feb 2024
Bidirectional Generative Pre-training for Improving Time Series Representation Learning Ziyang Song Qincheng Lu He Zhu Yue Li AI4TS 19 3 0 14 Feb 2024
Loss Shaping Constraints for Long-Term Time Series Forecasting Ignacio Hounie Javier Porras-Valenzuela Alejandro Ribeiro AI4TS 27 0 0 14 Feb 2024
Comparing skill of historical rainfall data based monsoon rainfall prediction in India with NCEP-NWP forecasts Apoorva Narula Aastha Jain Jatin Batra Sandeep Juneja AI4Cl 13 0 0 12 Feb 2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction Cheng Feng Long Huang Denis Krompass AI4TS 23 5 0 12 Feb 2024
TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation Peng Wang Xiang Wei Fangxu Hu Wenjuan Han 33 17 0 11 Feb 2024
TREET: TRansfer Entropy Estimation via Transformers Omer Luxembourg Dor Tsur Haim Permuter 27 1 0 10 Feb 2024
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting Yanjun Zhao Tian Zhou Chao Chen Liang Sun Yi Qian Rong Jin AI4TS 32 2 0 08 Feb 2024
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting Ziqing Ma Wen-wu Wang Tian Zhou Chao Chen Bingqing Peng Liang Sun Rong Jin 32 2 0 08 Feb 2024
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network Chengzhi Liu Zheng Tao Zihong Luo Chenghao Liu AI4TS 14 3 0 08 Feb 2024
Attention as Robust Representation for Time Series Forecasting Peisong Niu Tian Zhou Xue Wang Liang Sun Rong Jin AI4TS 24 4 0 08 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning Hao Wang Xu Ju Jiangtong Li Zhijian Xu Dawei Cheng Qiang Xu AI4TS KELM 38 19 0 07 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 71 111 0 06 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 120 165 0 04 Feb 2024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling Jiaxiang Dong Haixu Wu Yuxuan Wang Yunzhong Qiu Li Zhang Jianmin Wang Mingsheng Long AI4TS 23 13 0 04 Feb 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 32 22 0 04 Feb 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models Yong Liu Haoran Zhang Chenyu Li Xiangdong Huang Jianmin Wang Mingsheng Long AIFin AI4TS AI4CE 39 50 0 04 Feb 2024
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals Daojun Liang Haixia Zhang Dongfeng Yuan Bingzheng Zhang Minggao Zhang AI4TS 21 4 0 04 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain Hao Wang Licheng Pan Zhichao Chen Degui Yang Sen Zhang Yifei Yang Xinggao Liu Haoxuan Li Dacheng Tao AI4TS 62 14 0 04 Feb 2024
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models Xindi Wang Mahsa Salmani Parsa Omidi Xiangyu Ren Mehdi Rezagholizadeh A. Eshaghi LRM 34 35 0 03 Feb 2024
Self-Supervised Contrastive Learning for Long-term Forecasting Junwoo Park Daehoon Gwak Jaegul Choo Edward Choi AI4TS 26 5 0 03 Feb 2024
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes Haoran Zhao Wayne Isaac Tan Uy AI4TS 20 0 0 03 Feb 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks Changze Lv Yansen Wang Dongqi Han Xiaoqing Zheng Xuanjing Huang Dongsheng Li AI4TS TPM 34 4 0 02 Feb 2024
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction Wenshuo Chao Zhaopeng Qiu Likang Wu Zhuoning Guo Zhi Zheng Hengshu Zhu Hao Liu 38 5 0 31 Jan 2024
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning Haozhi Gao Qianqian Ren Jinbao Li AI4TS 29 2 0 31 Jan 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators Lifan Zhao Yanyan Shen AI4TS AIFin 41 13 0 31 Jan 2024
Encoding Temporal Statistical-space Priors via Augmented Representation Insu Choi Woosung Koh Gimin Kang Yuntae Jang Woo Chang Kim AI4TS 42 0 0 30 Jan 2024
From GARCH to Neural Network for Volatility Forecast Pengfei Zhao Haoren Zhu Wilfred Siu Hung Ng Dik Lun Lee AIFin 21 6 0 29 Jan 2024
VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting Yutong Xiong Xun Zhu Ming Wu Weiqing Li Fanbin Mo Chuang Zhang Bin Zhang AI4TS 20 1 0 26 Jan 2024
Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections Md. Khairul Islam Tyler W. Valentine Timothy Joowon Sue Ayush Karmacharya Luke Neil Benham Zhengguang Wang Kingsley Kim Judy Fox AI4TS 39 0 0 26 Jan 2024
Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices Ruixuan Zhang Wenyu Han Zilin Bian K. Ozbay Chen Feng AI4TS 21 0 0 25 Jan 2024
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks M. A. Ma'sum MD Rasel Sarkar Mahardhika Pratama Savitha Ramasamy S. Anavatti Lin Liu Habibullah Habibullah Ryszard Kowalczyk AI4TS 27 0 0 25 Jan 2024
A Survey of Deep Learning and Foundation Models for Time Series Forecasting John A. Miller Mohammed Aldosari Farah Saeed Nasid Habib Barna Subas Rana I. Arpinar Ninghao Liu AI4TS AI4CE 43 20 0 25 Jan 2024
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms Esmaeel Mohammadi Mikkel Stokholm-Bjerregaard A. A. Hansen Per Halkjaer Nielsen D. O. Arroyo Petar Durdevic AI4CE 13 12 0 23 Jan 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting Jinliang Deng Feiyang Ye Du Yin Xuan Song Ivor W. Tsang Hui Xiong AI4TS 43 3 0 22 Jan 2024
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting Chu Myaet Thwal Ye Lin Tun Kitae Kim Seong-Bae Park Choong Seon Hong AI4TS AIFin 33 5 0 22 Jan 2024
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting Zongjiang Shang Ling Chen AI4TS 40 3 0 17 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 35 20 0 17 Jan 2024
Harnessing Orthogonality to Train Low-Rank Neural Networks D. Coquelin Katharina Flügel Marie Weiel Nicholas Kiefer Charlotte Debus Achim Streit Markus Goetz 26 1 0 16 Jan 2024
Domain Adaptation for Time series Transformers using One-step fine-tuning Subina Khanal Seshu Tirupathi Giulio Zizzo Ambrish Rawat T. Pedersen AI4TS 29 3 0 12 Jan 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting Shubao Zhao Ming Jin Zhaoxiang Hou Che-Sheng Yang Zengxiang Li Qingsong Wen Yi Wang 30 2 0 10 Jan 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram Arindam Jati Pankaj Dayama Sumanta Mukherjee Nam H. Nguyen Wesley M. Gifford Chandra Reddy Jayant Kalagnanam AI4TS VLM 38 21 0 08 Jan 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 32 8 0 05 Jan 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting Xiang Ma Xue-mei Li Lexin Fang Tianlong Zhao Caiming Zhang AI4TS 13 13 0 04 Jan 2024
Kernel-U-Net: Symmetric and Hierarchical Architecture for Multivariate Time Series Forecasting Jiang You René Natowicz Arben Cela Jacob Ouanounou Patrick Siarry AI4TS 26 3 0 03 Jan 2024
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting Wanlin Cai Keli Zhang Xianggen Liu Jianshuai Feng Yuankai Wu AI4TS 38 73 0 31 Dec 2023