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
Omni-Dimensional Frequency Learner for General Time Series Analysis Xianing Chen.Hanting Chen Hanting Chen Hailin Hu AI4TS 37 0 0 15 Jul 2024
xLSTMTime : Long-term Time Series Forecasting With xLSTM Musleh Alharthi A. Mahmood AI4TS 18 12 0 14 Jul 2024
Toto: Time Series Optimized Transformer for Observability Ben Cohen E. Khwaja Kan Wang Charles Masson Elise Ramé Youssef Doubli Othmane Abou-Amal AI4TS 40 3 0 10 Jul 2024
CATP: Context-Aware Trajectory Prediction with Competition Symbiosis Jiang Wu Dongyu Liu Yuchen Lin Yingcai Wu 21 0 0 10 Jul 2024
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting Luoxiao Yang Yun Wang Xinqi Fan Israel Cohen Jingdong Chen Yue Zhao Zijun Zhang AI4TS 43 5 0 10 Jul 2024
LETS-C: Leveraging Language Embedding for Time Series Classification Rachneet Kaur Zhen Zeng T. Balch Manuela Veloso AI4TS 35 0 0 09 Jul 2024
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models Litton J. Kurisinkel Pruthwik Mishra Yue Zhang 37 4 0 04 Jul 2024
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification Wenhui Zhu Xiwen Chen Peijie Qiu Aristeidis Sotiras Abolfazl Razi Yalin Wang 37 5 0 04 Jul 2024
Membership Inference Attacks Against Time-Series Models Noam Koren Abigail Goldsteen Ariel Farkash Guy Amit 34 0 0 03 Jul 2024
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks S. Kristoffersen Peter Skaar Nordby Sara Malacarne Massimiliano Ruocco Pablo Ortiz AI4TS 28 0 0 02 Jul 2024
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting Wei Fan Kun Yi Hangting Ye Zhiyuan Ning Qi Zhang Ning An AI4TS 46 9 0 29 Jun 2024
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization Sheo Yon Jhin Seojin Kim Noseong Park AI4TS 31 3 0 29 Jun 2024
Conformal time series decomposition with component-wise exchangeability Derck W. E. Prinzhorn Thijmen Nijdam Putri A. van der Linden Alexander Timans 46 2 0 24 Jun 2024
Are Language Models Actually Useful for Time Series Forecasting? Mingtian Tan Mike A. Merrill Vinayak Gupta Tim Althoff Thomas Hartvigsen AI4TS 46 45 0 22 Jun 2024
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting Yu-Neng Chuang Songchen Li Jiayi Yuan Guanchu Wang Kwei-Herng Lai ... Sirui Ding Qiaoyu Tan Daochen Zha Daochen Zha Xia Hu AI4TS 32 1 0 20 Jun 2024
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler Jiang You A. Çela René Natowicz Jacob Ouanounou Patrick Siarry AI4TS 48 0 0 19 Jun 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting Yue Jiang Xiucheng Li Yile Chen Shuai Liu Weilong Kong Antonis F. Lentzakis Gao Cong AI4TS AI4CE 31 1 0 18 Jun 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting Fan Zhou Chen Pan Lintao Ma Yu Liu James Zhang ... Weitao Lin Zi Zhuang Wenxin Ning Yunhua Hu Siqiao Xue AI4TS 29 1 0 18 Jun 2024
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation Du Yin Hao Xue Arian Prabowo Shuang Ao Flora Salim AI4TS 34 0 0 18 Jun 2024
Delay Embedding Theory of Neural Sequence Models Mitchell Ostrow Adam J. Eisen Ila Fiete AI4TS 29 2 0 17 Jun 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking Xi Chen Chuan Qin Chuyu Fang Chao Wang Chen Zhu Fuzhen Zhuang Hengshu Zhu Hui Xiong 42 5 0 17 Jun 2024
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert Malik Tiomoko Cosme Louart Ambroise Odonnat Vasilii Feofanov Themis Palpanas I. Redko AI4TS 65 1 0 14 Jun 2024
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting Quangao Liu Ruiqi Li Maowei Jiang Wei Yang Chen Liang Longlong Pang Zhuozhang Zou AI4TS 34 0 0 14 Jun 2024
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting Qi Sima Xinze Zhang Yukun Bao Siyue Yang Liang Shen AI4TS 53 1 0 14 Jun 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu Harshavardhan Kamarthi Lingkai Kong Zhiyuan Zhao Chao Zhang B. Aditya Prakash OODD OOD AI4TS 46 8 0 13 Jun 2024
Fredformer: Frequency Debiased Transformer for Time Series Forecasting Xihao Piao Zheng Chen Taichi Murayama Yasuko Matsubara Yasushi Sakurai AI4TS 50 17 0 13 Jun 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu Shangqing Xu Zhiyuan Zhao Lingkai Kong Harshavardhan Kamarthi ... Megha Sharma Jiaming Cui Qingsong Wen Chao Zhang B. Aditya Prakash AI4TS 48 5 0 12 Jun 2024
Towards Generalized Hydrological Forecasting using Transformer Models for 120-Hour Streamflow Prediction B. Demiray Ibrahim Demir AI4TS 26 1 0 11 Jun 2024
Flextron: Many-in-One Flexible Large Language Model Ruisi Cai Saurav Muralidharan Greg Heinrich Hongxu Yin Zhangyang Wang Jan Kautz Pavlo Molchanov 42 10 0 11 Jun 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting Yuxuan Shu Vasileios Lampos AI4TS AI4CE 70 0 0 11 Jun 2024
C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting Chaolv Zeng Zhanyu Liu Guanjie Zheng Linghe Kong Mamba 53 5 0 08 Jun 2024
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng Marius Lindauer AI4TS 53 0 0 07 Jun 2024
TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks Ninghui Feng Songning Lai Jiayu Yang Fobao Zhou Zhenxiao Yin Haiying Zhao AI4TS 26 0 0 07 Jun 2024
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting Juncheng Liu Chenghao Liu Gerald Woo Yiwei Wang Bryan Hooi Caiming Xiong Doyen Sahoo AI4TS 40 3 0 07 Jun 2024
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models Ali Behrouz Michele Santacatterina Ramin Zabih Mamba AI4TS 54 4 0 06 Jun 2024
FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model Chu Li Pingjia Xiao Q. Yuan AI4TS 29 0 0 06 Jun 2024
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting Jiaxi Hu Qingsong Wen Sijie Ruan Li Liu Yuxuan Liang AI4TS 36 5 0 06 Jun 2024
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning Jihyeon Seong Sekwang Oh Jaesik Choi AI4TS 44 0 0 06 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 66 1 0 06 Jun 2024
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection Ronghui Xu Hao Miao Senzhang Wang Philip S. Yu Jianxin Wang AI4TS 50 12 0 04 Jun 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding Zhanyu Liu Guanjie Zheng Haiming Jin Linghe Kong AI4TS DD 42 3 0 04 Jun 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework Yiyang Zhao Yunzhuo Liu Bo Jiang Tian Guo 40 3 0 03 Jun 2024
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment Chenxi Liu Qianxiong Xu Hao Miao Sun Yang Lingzheng Zhang Cheng Long Ziyue Li Rui Zhao AI4TS 48 14 0 03 Jun 2024
An Unsupervised Approach for Periodic Source Detection in Time Series B. U. Demirel Christian Holz AI4TS 50 1 0 01 Jun 2024
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection Junqi Chen Xu Tan S. Rahardja Jiawei Yang S. Rahardja Mamba 44 2 0 30 May 2024
FTS: A Framework to Find a Faithful TimeSieve Songning Lai Ninghui Feng Haochen Sui Ze Ma Hao Wang Zichen Song Hang Zhao Yutao Yue AI4TS 39 15 0 30 May 2024
Hierarchical Classification Auxiliary Network for Time Series Forecasting Yanru Sun Zongxia Xie Dongyue Chen Emadeldeen Eldele Qinghua Hu AI4TS 53 3 0 29 May 2024
Time Series Representation Models Robert Leppich Vanessa Borst Veronika Lesch Samuel Kounev AI4TS 24 0 0 28 May 2024
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks Wanlin Cai Kun Wang Hao Wu Xiaoxu Chen Yuankai Wu AI4TS 24 0 0 28 May 2024
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging Leon Götz Marcel Kollovieh Stephan Günnemann Leo Schwinn 26 1 0 28 May 2024