Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

9 May 2019

Inderjit Dhillon

Papers citing "Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting"

50 / 149 papers shown

Title
Do global forecasting models require frequent retraining? Marco Zanotti 39 0 0 01 May 2025
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity Mert Sonmezer Seyda Ertekin AI4TS 26 0 0 24 Apr 2025
TimeFound: A Foundation Model for Time Series Forecasting Congxi Xiao Jingbo Zhou Yixiong Xiao Xinjiang Lu Le Zhang Hui Xiong AI4TS 54 0 0 06 Mar 2025
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Daojun Liang Haixia Zhang Dongfeng Yuan AI4TS 40 0 0 09 Jan 2025
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data Daojun Liang Haixia Zhang Jing Wang Dongfeng Yuan Minggao Zhang AI4TS 86 0 0 28 Nov 2024
A Mamba Foundation Model for Time Series Forecasting Haoyu Ma Yushu Chen Wenlai Zhao Jinzhe Yang Yingsheng Ji Xinghua Xu Xiaozhu Liu Hao Jing Shengzhuo Liu Guangwen Yang AI4TS Mamba 47 2 0 05 Nov 2024
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting Zongjiang Shang Ling Chen Binqing Wu Dongliang Cui AI4TS AI4CE 33 1 0 31 Oct 2024
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting Linghang Kong Elynn Chen Yuzhou Chen Yuefeng Han AI4TS 56 0 0 27 Oct 2024
Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks Mariaclaudia Nicolai Raffaella Fiamma Cabini Diego Ulisse Pizzagalli 21 0 0 27 Sep 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting Yuxin Jia Youfang Lin Jing Yu Shuo Wang Tianhao Liu Huaiyu Wan AI4TS 37 1 0 26 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 46 28 0 24 Sep 2024
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification Huanyu Zhang Yi-Fan Zhang Zhang Zhang Qingsong Wen Liwen Wang AI4TS 29 1 0 12 Sep 2024
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift Hui He Qi Zhang Kun Yi Xiaojun Xue Shoujin Wang Liang Hu Longbin Cao OOD AI4TS 63 0 0 18 Jul 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
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series Zhicheng Chen Xi Xiao Ke-Li Xu Zhong Zhang Yu Rong Qing Li Guojun Gan Zhiqiang Xu Peilin Zhao AI4TS 53 0 0 30 May 2024
Factor Augmented Tensor-on-Tensor Neural Networks Guanhao Zhou Yuefeng Han Xiufan Yu 32 1 0 30 May 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting Xiuding Cai Yaoyao Zhu Xueyao Wang Yu Yao Mamba AI4TS 38 7 0 26 May 2024
Scaling Law for Time Series Forecasting Jingzhe Shi Qinwei Ma Huan Ma Lei Li AI4TS 31 8 0 24 May 2024
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers Xin Cheng Xiuying Chen Shuqi Li Di Luo Xun Wang Dongyan Zhao Rui Yan AI4TS 74 1 0 22 May 2024
FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting Ruiqi Li Maowei Jiang Kai-Ming Wang Kaiduo Feng Quangao Liu Yue Sun Xiufang Zhou AI4TS 37 1 0 22 May 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang Senzhang Wang Hao Miao Hao Chen Changjun Fan Jian Zhang 46 2 0 21 May 2024
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting Yingnan Yang Qingling Zhu Jianyong Chen AI4TS 30 4 0 19 May 2024
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner Tong Nie Guoyang Qin Wei Ma Jiangming Sun 28 8 0 06 May 2024
DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation Xin Zhang Ling Chen Xing Tang Hongyu Shi 27 0 0 02 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen J. E. Lenssen Aosong Feng Weihua Hu Matthias Fey Leandros Tassiulas J. Leskovec Rex Ying AI4TS 34 10 0 31 Mar 2024
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt Yi-Fan Zhang Weiqiu Chen Zhaoyang Zhu Dalin Qin Liang Sun Xue Wang Qingsong Wen Zhang Zhang Liang Wang Rong Jin AI4TS 39 1 0 22 Mar 2024
Deep Coupling Network For Multivariate Time Series Forecasting Kun Yi Qi Zhang Hui He Kaize Shi Liang Hu Ning An ZhenDong Niu AI4TS 44 5 0 23 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 23 0 15 Feb 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
Probabilistic Demand Forecasting with Graph Neural Networks Nikita Kozodoi E. Zinovyeva Simon Valentin João Pereira Rodrigo Agundez AI4TS 16 0 0 23 Jan 2024
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting Zhihao Yu Liantao Ma Yasha Wang Junfeng Zhao AI4TS 18 0 0 28 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 26 9 0 22 Dec 2023
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Yuansan Liu S. Wijewickrema Ang Li C. Bester Stephen O'Leary James Bailey ViT AI4TS 29 7 0 18 Dec 2023
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting Yanhong Li Jack L. Xu D. Anastasiu AI4TS 40 11 0 14 Dec 2023
KPIs-Based Clustering and Visualization of HPC jobs: a Feature Reduction Approach Mohamed Soliman Halawa R. Redondo Ana Fernández Vilas 21 1 0 11 Dec 2023
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression Aidan Quinn M. Simmons B. Spivak Christoph Bergmeir 27 0 0 02 Dec 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi Qi Zhang Wei Fan Hui He Liang Hu Pengyang Wang Ning An Longbin Cao ZhenDong Niu AI4TS 45 106 0 10 Nov 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 61 124 0 10 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting Yitian Zhang Liheng Ma Soumyasundar Pal Yingxue Zhang Mark J. Coates AI4TS 33 27 0 07 Nov 2023
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis Shuhan Zhong Sizhe Song Weipeng Zhuo Guanyao Li Yang Liu S.-H. Gary Chan AI4TS 25 18 0 18 Oct 2023
A decoder-only foundation model for time-series forecasting Abhimanyu Das Weihao Kong Rajat Sen Yichen Zhou AI4TS AI4CE 21 188 0 14 Oct 2023
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning Jiecheng Lu Xu Han Shihao Yang AI4TS 19 2 0 14 Oct 2023
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control L. Saad Saoud Irfan Hussain 30 2 0 03 Oct 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling Yifan Zhang Qingsong Wen Xue Wang Weiqiu Chen Liang Sun Z. Zhang Liang Wang Rong Jin Tien-Ping Tan AI4TS 46 28 0 22 Sep 2023
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER) Wei-Duen Liao J. Voldman OOD CML 9 0 0 20 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
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
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 27 14 0 04 Jul 2023
Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts Wangtao Zhou Zhao Kang Ling Tian Yimu Su 30 11 0 24 Jun 2023
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? Daojun Liang Haixia Zhang Dongfeng Yuan Xiaoyan Ma Dongyang Li Minggao Zhang AI4TS 17 5 0 08 Jun 2023