v1v2v3 (latest)

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

29 June 2019

Papers citing "Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting"

50 / 503 papers shown

Title
CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries via Cyclic Attention Zhiqiang Nie Jiankun Zhao Qicheng Li Yong Qin 33 3 0 17 Apr 2023
A Neural Network Transformer Model for Composite Microstructure Homogenization Emil Pitz K. Pochiraju AI4CE 72 10 0 16 Apr 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning Zijian Zhang Xiangyu Zhao Hao Miao Chunxu Zhang Hongwei Zhao Junbo Zhang AI4TS 72 21 0 16 Apr 2023
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction Biswadeep Chakraborty Saibal Mukhopadhyay 66 7 0 10 Apr 2023
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning Riccardo Ughi Eugenio Lomurno Matteo Matteucci AI4TS 32 1 0 10 Apr 2023
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning Karan Aggarwal Jaideep Srivastava AI4TS 94 0 0 09 Apr 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad AI4TS 28 1 0 23 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 100 121 0 23 Mar 2023
Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo Wei Cheng Yingheng Wang Dongkuan Xu Jingchao Ni ... Xuchao Zhang Yanchi Liu Yuncong Chen Haifeng Chen Xiang Zhang AI4TS 60 62 0 21 Mar 2023
MSTFormer: Motion Inspired Spatial-temporal Transformer with Dynamic-aware Attention for long-term Vessel Trajectory Prediction Huimin Qiang Zhiyuan Guo Shiyuan Xie Xiaodong Peng 43 1 0 21 Mar 2023
Inflation forecasting with attention based transformer neural networks M. Tschuchnig Petra Tschuchnig Cornelia Ferner M. Gadermayr AI4TS 16 0 0 13 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting Si-An Chen Chun-Liang Li Nate Yoder Sercan O. Arik Tomas Pfister AI4TS 147 189 0 10 Mar 2023
Multi-Task Self-Supervised Time-Series Representation Learning Heejeong Choi Pilsung Kang AI4TS SSL 85 14 0 02 Mar 2023
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Zekun Li Shiyang Li Xifeng Yan AI4TS 94 58 0 01 Mar 2023
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density Junwoo Park Jungsoo Lee Youngin Cho W. Shin Dongmin Kim Jaegul Choo Edward Choi AI4TS 39 9 0 27 Feb 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting Tianli Guo AI4TS 68 0 0 22 Feb 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations Xun Zhu Yutong Xiong Ming Wu Gaozhen Nie Bin Zhang Ziheng Yang AI4TS 41 21 0 21 Feb 2023
AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring Hao Wang Zhiyu Wang Yunlong Niu Zhaoran Liu Haozhe Li Yilin Liao Yuxin Huang Xinggao Liu 61 0 0 21 Feb 2023
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand Yiwei Fu Nurali Virani Honggang Wang AI4TS 28 4 0 14 Feb 2023
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing Zhe Li Zhongwen Rao Lujia Pan Zenglin Xu AI4TS 81 64 0 09 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 118 36 0 07 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey Navid Mohammadi Foumani Lynn Miller Chang Wei Tan G. I. Webb Germain Forestier Mahsa Salehi BDL AI4TS 149 108 0 06 Feb 2023
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers K. Choromanski Shanda Li Valerii Likhosherstov Kumar Avinava Dubey Shengjie Luo Di He Yiming Yang Tamás Sarlós Thomas Weingarten Adrian Weller 108 8 0 03 Feb 2023
Deep COVID-19 Forecasting for Multiple States with Data Augmentation C. Fong Dit-Yan Yeung 52 0 0 02 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 82 3 0 02 Feb 2023
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding Kunpeng Zhang Lan Wu Liang Zheng Na Xie Zhengbing He AI4TS 68 1 0 27 Jan 2023
Ti-MAE: Self-Supervised Masked Time Series Autoencoders Zhe Li Zhongwen Rao Lujia Pan Pengyun Wang Zenglin Xu AI4TS 83 53 0 21 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Yuante Li Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 97 105 0 08 Jan 2023
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution Yan Li Xin Lu Haoyi Xiong Jian Tang Jian Su Bo Jin Dejing Dou AI4TS 70 28 0 05 Jan 2023
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem Peiwang Tang Xianchao Zhang AI4TS 116 6 0 04 Jan 2023
On Transforming Reinforcement Learning by Transformer: The Development Trajectory Shengchao Hu Li Shen Ya Zhang Yixin Chen Dacheng Tao OffRL 148 30 0 29 Dec 2022
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation Shiyu Wang Fan Zhou Yinbo Sun Lintao Ma James Y. Zhang Yang Zheng BDL AI4TS 80 8 0 28 Dec 2022
Convolution-enhanced Evolving Attention Networks Yujing Wang Yaming Yang Zhuowan Li Jiangang Bai Mingliang Zhang Xiangtai Li Jiahao Yu Ce Zhang Gao Huang Yu Tong ViT 102 6 0 16 Dec 2022
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting Xiyuan Zhang Xiaoyong Jin Karthick Gopalswamy Gaurav Gupta Youngsuk Park Xingjian Shi Hongya Wang Danielle C. Maddix Yuyang Wang AI4TS 64 22 0 15 Dec 2022
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting Nghia Duong-Trung Kiran Madhusudhanan Danh Le-Phuoc AI4TS 94 4 0 15 Dec 2022
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation Maxwell A. Xu Alexander Moreno Supriya Nagesh V. Aydemir D. Wetter Santosh Kumar James M. Rehg AI4TS 68 9 0 14 Dec 2022
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling Renhe Jiang Zhaonan Wang Jiawei Yong P. Jeph Quanjun Chen Yasumasa Kobayashi Xuan Song Toyotaro Suzumura Shintaro Fukushima GNN BDL AI4TS 104 4 0 12 Dec 2022
Towards Better Long-range Time Series Forecasting using Generative Forecasting Shiyu Liu Rohan Ghosh Mehul Motani AI4TS 163 3 0 09 Dec 2022
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting Zanwei Zhou Rui-Ming Zhong Chen Yang Yan Wang Xiaokang Yang Wei Shen AI4TS 68 9 0 06 Dec 2022
Auxiliary Quantile Forecasting with Linear Networks Shayan Jawed Lars Schmidt-Thieme AI4TS 34 0 0 05 Dec 2022
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting Maowei Jiang Pengyu Zeng Kai-Ming Wang Huan Liu Wenbo Chen Haoran Liu AI4TS 71 61 0 02 Dec 2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 118 1,443 0 27 Nov 2022
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting Renhe Jiang Zhaonan Wang Jiawei Yong P. Jeph Quanjun Chen Yasumasa Kobayashi Xuan Song Shintaro Fukushima Toyotaro Suzumura AI4TS 88 202 0 27 Nov 2022
PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving Sepidehsadat Hosseini M. Shabani Saghar Irandoust Yasutaka Furukawa DiffM 94 15 0 24 Nov 2022
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps Jiajia Li Feng Tan Cheng He Zikai Wang Haitao Song Lingfei Wu Pengwei Hu 58 0 0 13 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting Junlong Tong Liping Xie Wankou Yang Kanjian Zhang AI4TS 64 5 0 31 Oct 2022
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting Youngin Cho Daejin Kim Dongmin Kim Mohammad Azam Khan Jaegul Choo AI4TS 74 3 0 25 Oct 2022
Inference from Real-World Sparse Measurements Arnaud Pannatier Kyle Matoba François Fleuret AI4TS 82 0 0 20 Oct 2022
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling Xinlu Zhang Shiyang Li Zhiyu Zoey Chen Xifeng Yan Linda R. Petzold AI4TS 99 29 0 18 Oct 2022
A Transformer-based Generative Model for De Novo Molecular Design Wenlu Wang Ye Wang Honggang Zhao Simone Sciabola 34 0 0 17 Oct 2022