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

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

9 May 2019
Rajat Sen
Hsiang-Fu Yu
Inderjit Dhillon
    AI4TS
ArXivPDFHTML

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

50 / 149 papers shown
Title
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for
  Multivariate Time Series Forecasting Dependency for Multivariate Time Series
  Forecasting
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting
Donghao Luo
Xue Wang
BDL
AI4TS
19
2
0
04 Jun 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for
  Multivariate Long-Term Time Series Forecasting
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
Jiaxin Gao
Wenbo Hu
Yuntian Chen
AI4TS
27
13
0
30 May 2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series
  Forecasting
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting
Yushu Chen
Shengzhuo Liu
Jinzhe Yang
Hao Jing
Wenlai Zhao
Guang-Wu Yang
AI4TS
24
15
0
24 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series
  Forecasting
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
Xue Wang
Tian Zhou
Qingsong Wen
Jinyang Gao
Bolin Ding
Rong Jin
AI4TS
26
39
0
20 May 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
31
50
0
18 May 2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context
  Learning
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
Dong-Ho Lee
Kian Ahrabian
Woojeong Jin
Fred Morstatter
Jay Pujara
30
32
0
17 May 2023
Futures Quantitative Investment with Heterogeneous Continual Graph
  Neural Network
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network
Min Hu
Zhizhong Tan
Bin Liu
Guosheng Yin
AIFin
AI4TS
8
0
0
29 Mar 2023
Discovering Predictable Latent Factors for Time Series Forecasting
Discovering Predictable Latent Factors for Time Series Forecasting
Jingyi Hou
Zhen Dong
Jiayu Zhou
Zhijie Liu
AI4TS
BDL
30
1
0
18 Mar 2023
Hybrid Variational Autoencoder for Time Series Forecasting
Hybrid Variational Autoencoder for Time Series Forecasting
Borui Cai
Shuiqiao Yang
Longxiang Gao
Yong Xiang
BDL
AI4TS
41
14
0
13 Mar 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TS
32
31
0
08 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series
  Forecasting
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting
Jianqing Zhu
Juncai He
Lian Zhang
Jinchao Xu
28
3
0
02 Feb 2023
Generative Time Series Forecasting with Diffusion, Denoise, and
  Disentanglement
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Y. Li
Xin-xin Lu
Yaqing Wang
De-Yu Dou
DiffM
AI4TS
22
99
0
08 Jan 2023
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load
  Forecasting
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
Slawek Smyl
Grzegorz Dudek
Paweł Pełka
AI4TS
29
14
0
18 Dec 2022
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla
  Transformer Architecture for Long-term Multivariate Time Series Forecasting
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
50
9
0
06 Dec 2022
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge
  Distillation
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation
Mehrtash Mehrabi
Yingxue Zhang
25
0
0
17 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting
Probabilistic Decomposition Transformer for Time Series Forecasting
Junlong Tong
Liping Xie
Wankou Yang
Kanjian Zhang
AI4TS
24
5
0
31 Oct 2022
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
Youngin Cho
Daejin Kim
Dongmin Kim
Mohammad Azam Khan
Jaegul Choo
AI4TS
31
3
0
25 Oct 2022
Multimodal Neural Network For Demand Forecasting
Multimodal Neural Network For Demand Forecasting
Nitesh Kumar
K. Dheenadayalan
Suprabath Reddy
Sumant Kulkarni
AI4TS
19
4
0
20 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution
  Shifts
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
Rui Wang
Yihe Dong
Sercan Ö. Arik
Rose Yu
AI4TS
39
24
0
07 Oct 2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series
  Forecasting
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting
Kun Yi
Qi Zhang
Liang Hu
Hui He
Ning An
LongBing Cao
ZhenDong Niu
AI4TS
59
3
0
06 Oct 2022
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware
  Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting
Junkyu Jang
Sunghyuk Park
32
1
0
05 Sep 2022
Distributional Drift Adaptation with Temporal Conditional Variational
  Autoencoder for Multivariate Time Series Forecasting
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
Hui He
Qi Zhang
Kun Yi
Kaize Shi
ZhenDong Niu
Longbin Cao
TTA
AI4TS
21
5
0
01 Sep 2022
Time Series Forecasting Models Copy the Past: How to Mitigate
Time Series Forecasting Models Copy the Past: How to Mitigate
Chrysoula Kosma
Giannis Nikolentzos
Nancy R. Xu
Michalis Vazirgiannis
AI4TS
24
4
0
27 Jul 2022
Dateformer: Time-modeling Transformer for Longer-term Series Forecasting
Dateformer: Time-modeling Transformer for Longer-term Series Forecasting
Julong Young
Junhui Chen
Feihu Huang
Jian Peng
AI4TS
22
1
0
12 Jul 2022
Seasonal Encoder-Decoder Architecture for Forecasting
Seasonal Encoder-Decoder Architecture for Forecasting
Avinash Achar
Soumen Pachal
BDL
AI4TS
11
0
0
08 Jul 2022
Learning the Evolutionary and Multi-scale Graph Structure for
  Multivariate Time Series Forecasting
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
Junchen Ye
Zihan Liu
Bowen Du
Leilei Sun
Weimiao Li
Yanjie Fu
Hui Xiong
AI4TS
11
90
0
28 Jun 2022
Predicting Hate Intensity of Twitter Conversation Threads
Predicting Hate Intensity of Twitter Conversation Threads
Qing Meng
Tharun Suresh
Roy Ka-Wei Lee
Tanmoy Chakraborty
24
19
0
16 Jun 2022
Anomaly Detection and Inter-Sensor Transfer Learning on Smart
  Manufacturing Datasets
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets
Mustafa Abdallah
B. Joung
Wo Jae Lee
C. Mousoulis
J. Sutherland
S. Bagchi
23
20
0
13 Jun 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression
  Trees
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy
Daniel Lowd
26
10
0
23 May 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series
  Forecasting
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou
Ziqing Ma
Xue Wang
Qingsong Wen
Liang Sun
Tao Yao
Wotao Yin
Rong Jin
AI4TS
121
170
0
18 May 2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting
Multi-scale Attention Flow for Probabilistic Time Series Forecasting
Shibo Feng
Chunyan Miao
Ke-Li Xu
Jiaxiang Wu
Pengcheng Wu
Fan Lin
P. Zhao
BDL
AI4TS
12
22
0
16 May 2022
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic
  Forecasting
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
Abhimanyu Das
Weihao Kong
Biswajit Paria
Rajat Sen
AI4TS
32
6
0
21 Apr 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate
  Time-series
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series
Yuanrong Wang
T. Aste
AI4TS
26
10
0
08 Mar 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection
L. Zancato
Alessandro Achille
G. Paolini
A. Chiuso
Stefano Soatto
AI4TS
22
1
0
25 Feb 2022
Robust Probabilistic Time Series Forecasting
Robust Probabilistic Time Series Forecasting
Taeho Yoon
Youngsuk Park
Ernest K. Ryu
Yuyang Wang
AAML
AI4TS
20
18
0
24 Feb 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise
  Correlations for Long-Term Time Series Forecasting
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
Dazhao Du
Bing-Huang Su
Zhewei Wei
AI4TS
18
43
0
23 Feb 2022
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time
  Series Forecasting
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting
M. A. Chattha
L. V. Elst
M. I. Malik
Andreas Dengel
Sheraz Ahmed
AI4TS
16
0
0
08 Feb 2022
Decoupling Local and Global Representations of Time Series
Decoupling Local and Global Representations of Time Series
S. Tonekaboni
Chun-Liang Li
Sercan Ö. Arik
Anna Goldenberg
Tomas Pfister
AI4TS
CML
OOD
27
20
0
04 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term
  Series Forecasting
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou
Ziqing Ma
Qingsong Wen
Xue Wang
Liang Sun
Rong Jin
AI4TS
30
1,307
0
30 Jan 2022
Earthquake Nowcasting with Deep Learning
Earthquake Nowcasting with Deep Learning
Geoffrey C. Fox
John B. Rundle
A. Donnellan
Bo Feng
AI4Cl
AI4CE
35
6
0
18 Dec 2021
Scale-Aware Neural Architecture Search for Multivariate Time Series
  Forecasting
Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting
Donghui Chen
Ling-Hao Chen
Zongjiang Shang
Youdong Zhang
Bo Wen
Chenghu Yang
AI4TS
38
7
0
14 Dec 2021
Parameter Efficient Deep Probabilistic Forecasting
Parameter Efficient Deep Probabilistic Forecasting
O. Sprangers
Sebastian Schelter
Maarten de Rijke
BDL
AI4TS
42
21
0
06 Dec 2021
Dynamic Graph Learning-Neural Network for Multivariate Time Series
  Modeling
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling
Zhuoling Li
Gaowei Zhang
Lingyu Xu
Jie Yu
AI4TS
21
2
0
06 Dec 2021
Learning from Multiple Time Series: A Deep Disentangled Approach to
  Diversified Time Series Forecasting
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
Ling-Hao Chen
Weiqiu Chen
Binqing Wu
Youdong Zhang
Bo Wen
Chenghu Yang
AI4TS
12
4
0
09 Nov 2021
Meta-Forecasting by combining Global Deep Representations with Local
  Adaptation
Meta-Forecasting by combining Global Deep Representations with Local Adaptation
Riccardo Grazzi
Valentin Flunkert
David Salinas
Tim Januschowski
Matthias Seeger
Cédric Archambeau
AI4TS
AI4CE
41
6
0
05 Nov 2021
Cluster-and-Conquer: A Framework For Time-Series Forecasting
Cluster-and-Conquer: A Framework For Time-Series Forecasting
Reese Pathak
Rajat Sen
Nikhil S. Rao
N. Benjamin Erichson
Michael I. Jordan
Inderjit S. Dhillon
AI4TS
29
2
0
26 Oct 2021
Online Multi-horizon Transaction Metric Estimation with Multi-modal
  Learning in Payment Networks
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks
Chin-Chia Michael Yeh
Zhongfang Zhuang
Junpeng Wang
Yan Zheng
J. Ebrahimi
Ryan Mercer
Liang Wang
Wei Zhang
AI4TS
24
4
0
21 Sep 2021
From Known to Unknown: Knowledge-guided Transformer for Time-Series
  Sales Forecasting in Alibaba
From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba
Xinyuan Qi
Kai Hou
Tong Liu
Zhongzhong Yu
Sihao Hu
Wenwu Ou
AI4TS
45
19
0
17 Sep 2021
Instance-wise Graph-based Framework for Multivariate Time Series
  Forecasting
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting
Wentao Xu
Weiqing Liu
Jiang Bian
Jian Yin
Tie-Yan Liu
AI4TS
33
7
0
14 Sep 2021
A Multi-view Multi-task Learning Framework for Multi-variate Time Series
  Forecasting
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting
Jinliang Deng
Xiusi Chen
Renhe Jiang
Xuan Song
Ivor W. Tsang
AI4TS
41
34
0
02 Sep 2021
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