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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
Fighter flight trajectory prediction based on spatio-temporal graphcial attention network Yao Sun Tengyu Jing Jiapeng Wang Wei Wang 50 0 0 13 May 2024
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers Arvid Weyrauch T. Steens Oskar Taubert Benedikt Hanke Aslan Eqbal Ewa Götz Achim Streit Markus Goetz Charlotte Debus 56 2 0 06 May 2024
From Generalization Analysis to Optimization Designs for State Space Models Fusheng Liu Qianxiao Li 70 8 0 04 May 2024
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey Chen Shao Elias Giacoumidis Syed Moktacim Billah Shi Li Jialei Li Prashasti Sahu Andre Richter Tobias Kaefer Michael Faerber AI4TS 88 2 0 02 May 2024
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting Han Zhou Yuntian Chen AI4TS 114 0 0 29 Apr 2024
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data C. Symeonidis N. Nikolaidis 143 1 0 26 Apr 2024
Variational quantization for state space models Etienne David Jean Bellot Sylvain Le Corff AI4TS BDL 77 1 0 17 Apr 2024
High Significant Fault Detection in Azure Core Workload Insights Pranay Lohia Laurent Boué Sharath Ranganath Vijay Srinivas Agneeswaran AI4CE 28 2 0 14 Apr 2024
TSLANet: Rethinking Transformers for Time Series Representation Learning Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu Xiaoli Li AI4TS AIFin 100 44 0 12 Apr 2024
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection Ali Behrouz Michele Santacatterina Ramin Zabih 124 33 0 29 Mar 2024
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis Badri N. Patro Suhas Ranganath Vinay P. Namboodiri Vijay Srinivas Agneeswaran 99 3 0 26 Mar 2024
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting Xiaobing Yuan Ling Chen AI4TS 77 2 0 26 Mar 2024
Is Mamba Effective for Time Series Forecasting? Zihan Wang Fanheng Kong Shi Feng Ming Wang Xiaocui Yang Han Zhao Daling Wang Yifei Zhang Mamba AI4TS 87 77 0 17 Mar 2024
Rough Transformers for Continuous and Efficient Time-Series Modelling Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS MedIm 108 5 0 15 Mar 2024
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer Wenyong Han Tao Zhu L. Chen Huansheng Ning Yang Luo Yaping Wan AI4TS 69 11 0 14 Mar 2024
tsGT: Stochastic Time Series Modeling With Transformer Lukasz Kuciñski Witold Drzewakowski Mateusz Olko Piotr Kozakowski Lukasz Maziarka Marta Emilia Nowakowska Lukasz Kaiser Piotr Milo's 80 1 0 08 Mar 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness Hoang Phan Andrew Gordon Wilson Qi Lei 99 7 0 05 Mar 2024
NiNformer: A Network in Network Transformer with Token Mixing Generated Gating Function Abdullah Nazhat Abdullah Tarkan Aydin 79 0 0 04 Mar 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables Jiecheng Lu Xu Han Yan Sun Shihao Yang AI4TS 86 19 0 04 Mar 2024
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling Shiyi Qi Liangjiang Wen Yiduo Li Yuanhang Yang Zhe Li Zhongwen Rao Lujia Pan Zenglin Xu AI4TS 49 1 0 01 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 119 26 0 29 Feb 2024
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations Shiyi Qi Zenglin Xu Yiduo Li Liangjiang Wen Qingsong Wen Qifan Wang Yuan Qi AI4TS AI4CE 95 0 0 25 Feb 2024
Deep Coupling Network For Multivariate Time Series Forecasting Kun Yi Qi Zhang Hui He Kaize Shi Liang Hu Ning An ZhenDong Niu AI4TS 63 6 0 23 Feb 2024
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling Guoqi Yu Jing Zou Xiaowei Hu Angelica I. Aviles-Rivero Jing Qin Shujun Wang AI4TS 96 21 0 20 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 48 8 0 16 Feb 2024
Parametric Augmentation for Time Series Contrastive Learning Xu Zheng Tianchun Wang Wei Cheng Aitian Ma Haifeng Chen Mo Sha Dongsheng Luo AI4TS 80 14 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 110 29 0 15 Feb 2024
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer Md Kowsher Abdul Rafae Khan Jia Xu 83 0 0 14 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 105 5 0 12 Feb 2024
Attention as Robust Representation for Time Series Forecasting Peisong Niu Tian Zhou Xue Wang Liang Sun Rong Jin AI4TS 66 5 0 08 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 116 154 0 06 Feb 2024
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals Daojun Liang Haixia Zhang Dongfeng Yuan Bingzheng Zhang Minggao Zhang AI4TS 48 6 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 91 48 0 03 Feb 2024
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes Haoran Zhao Wayne Isaac Tan Uy AI4TS 30 0 0 03 Feb 2024
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning Haozhi Gao Qianqian Ren Jinbao Li AI4TS 79 3 0 31 Jan 2024
Encoding Temporal Statistical-space Priors via Augmented Representation Insu Choi Woosung Koh Gimin Kang Yuntae Jang Woo Chang Kim AI4TS 55 0 0 30 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 65 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 111 22 0 25 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 76 9 0 22 Jan 2024
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting Zongjiang Shang Ling Chen AI4TS 68 4 0 17 Jan 2024
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 104 35 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 69 0 0 28 Dec 2023
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning Jiexi Liu Songcan Chen AI4TS 77 40 0 25 Dec 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 98 3 0 22 Dec 2023
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting Aiyinsi Zuo Haixi Zhang Zirui Li Ce Zheng AI4TS 28 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 88 12 0 22 Dec 2023
Fine-grained Forecasting Models Via Gaussian Process Blurring Effect Sepideh Koohfar Laura Dietz DiffM AI4TS 54 0 0 21 Dec 2023
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting Yanhong Li Jack L. Xu D. Anastasiu AI4TS 60 11 0 14 Dec 2023
TPRNN: A Top-Down Pyramidal Recurrent Neural Network for Time Series Forecasting Ling Chen Jiahua Cui AI4TS 24 2 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 48 7 0 10 Dec 2023