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Modeling Long- and Short-Term Temporal Patterns with Deep Neural
  Networks

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

21 March 2017
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
    BDL
    AI4TS
ArXivPDFHTML

Papers citing "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks"

50 / 594 papers shown
Title
Achieving an Accurate Random Process Model for PV Power using Cheap
  Data: Leveraging the SDE and Public Weather Reports
Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports
Yiwei Qiu
Jin Lin
Zhipeng Zhou
Ningyi Dai
Feng Liu
Y. Song
8
0
0
27 Nov 2021
How News Evolves? Modeling News Text and Coverage using Graphs and
  Hawkes Process
How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Process
Honggen Zhang
June Zhang
20
0
0
18 Nov 2021
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without
  Periodogram and Gaussianity Assumptions
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions
Shao-Qun Zhang
Zhi-Hua Zhou
AI4TS
22
3
0
08 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction
Equivariant Deep Dynamical Model for Motion Prediction
Bahar Azari
Deniz Erdoğmuş
25
1
0
02 Nov 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic
  Time Series Data
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu
Ziqi Liu
Ge Jin
Qing Cui
Lei Chen
Jun Zhou
Jianyong Zhou
AI4TS
29
15
0
27 Oct 2021
A Scalable Inference Method For Large Dynamic Economic Systems
A Scalable Inference Method For Large Dynamic Economic Systems
Pratha Khandelwal
Philip Nadler
Rossella Arcucci
William Knottenbelt
Yi-Ke Guo
10
2
0
27 Oct 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
21
2
0
26 Oct 2021
Deep Explicit Duration Switching Models for Time Series
Deep Explicit Duration Switching Models for Time Series
Abdul Fatir Ansari
Konstantinos Benidis
Richard Kurle
Ali Caner Turkmen
Harold Soh
Alex Smola
Yuyang Wang
Tim Januschowski
BDL
13
19
0
26 Oct 2021
Probabilistic Time Series Forecasts with Autoregressive Transformation
  Models
Probabilistic Time Series Forecasts with Autoregressive Transformation Models
David Rügamer
Philipp F. M. Baumann
Thomas Kneib
Torsten Hothorn
AI4TS
56
12
0
15 Oct 2021
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time
  Series Forecasting
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting
Kiran Madhusudhanan
Johannes Burchert
Nghia Duong-Trung
Stefan Born
Lars Schmidt-Thieme
AI4TS
AI4CE
41
21
0
13 Oct 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in
  Decarbonized Energy Grids
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids
Xiangtian Zheng
Nan Xu
Loc Trinh
Dongqi Wu
Tong Huang
S. Sivaranjani
Yan Liu
Le Xie
AI4CE
33
43
0
12 Oct 2021
Development of Deep Transformer-Based Models for Long-Term Prediction of
  Transient Production of Oil Wells
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells
I. Abdrakhmanov
E. Kanin
S. Boronin
Evgeny Burnaev
A. Osiptsov
31
14
0
12 Oct 2021
5G Traffic Prediction with Time Series Analysis
5G Traffic Prediction with Time Series Analysis
N. Nayak
Rujula Singh R
AI4TS
11
3
0
07 Oct 2021
Analysis for full face mechanical behaviors through spatial deduction
  model with real-time monitoring data
Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data
X. Tan
Yuhang Wang
Bowen Du
Junchen Ye
Wei-zhong Chen
Leilei Sun
Li-ping Li
AI4CE
11
9
0
27 Sep 2021
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
J. E. Grigsby
Zhe Wang
Nam Nguyen
Yanjun Qi
AI4TS
69
87
0
24 Sep 2021
Deep Learning with Kernel Flow Regularization for Time Series
  Forecasting
Deep Learning with Kernel Flow Regularization for Time Series Forecasting
Mahdy Shirdel
Reza Asadi
Duc-Hinh Do
Micheal Hintlian
AI4TS
18
6
0
23 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
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
Junfeng Hu
Yuxuan Liang
Zhencheng Fan
Ying Zhang
Yifang Yin
Roger Zimmermann
AI4TS
52
11
0
16 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
25
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
33
0
02 Sep 2021
TCCT: Tightly-Coupled Convolutional Transformer on Time Series
  Forecasting
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
Li Shen
Yangzhu Wang
AI4TS
35
92
0
29 Aug 2021
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic
  Prediction
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
Renhe Jiang
Du Yin
Zhaonan Wang
Yizhuo Wang
Jiewen Deng
Hangcheng Liu
Z. Cai
Jinliang Deng
Xuan Song
Ryosuke Shibasaki
AI4TS
57
158
0
20 Aug 2021
AdaRNN: Adaptive Learning and Forecasting of Time Series
AdaRNN: Adaptive Learning and Forecasting of Time Series
Yuntao Du
Jindong Wang
Wenjie Feng
Sinno Jialin Pan
Tao Qin
Renjun Xu
Chongjun Wang
AI4TS
35
236
0
10 Aug 2021
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
Paul Jeha
Michael Bohlke-Schneider
Pedro Mercado
Shubham Kapoor
Rajbir-Singh Nirwan
Valentin Flunkert
Jan Gasthaus
Tim Januschowski
AI4TS
27
45
0
02 Aug 2021
Spatio-temporal graph neural networks for multi-site PV power
  forecasting
Spatio-temporal graph neural networks for multi-site PV power forecasting
J. Simeunović
B. Schubnel
P. Alet
R. Carrillo
AI4TS
14
123
0
29 Jul 2021
AutoML Meets Time Series Regression Design and Analysis of the
  AutoSeries Challenge
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
Zhen Xu
Wei-Wei Tu
Isabelle M Guyon
AI4TS
27
7
0
28 Jul 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Yu-xin Zhang
Yiqiang Chen
Jindong Wang
Zhiwen Pan
AI4TS
21
189
0
27 Jul 2021
Significant Wave Height Prediction based on Wavelet Graph Neural Network
Significant Wave Height Prediction based on Wavelet Graph Neural Network
Delong Chen
Fan Liu
Zheqi Zhang
Xiaomin Lu
Zewen Li
6
16
0
20 Jul 2021
Long-term series forecasting with Query Selector -- efficient model of
  sparse attention
Long-term series forecasting with Query Selector -- efficient model of sparse attention
J. Klimek
Jakub Klímek
W. Kraskiewicz
Mateusz Topolewski
AI4TS
25
6
0
19 Jul 2021
Deep Autoregressive Models with Spectral Attention
Deep Autoregressive Models with Spectral Attention
Fernando Moreno-Pino
Pablo Martínez Olmos
Antonio Artés-Rodríguez
AI4TS
34
17
0
13 Jul 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time
  Series Imputation
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Y. Tashiro
Jiaming Song
Yang Song
Stefano Ermon
BDL
DiffM
22
514
0
07 Jul 2021
Single Model for Influenza Forecasting of Multiple Countries by
  Multi-task Learning
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning
Taichi Murayama
Shoko Wakamiya
Eiji Aramaki
AI4TS
11
0
0
05 Jul 2021
Online Multi-Agent Forecasting with Interpretable Collaborative Graph
  Neural Network
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network
Maosen Li
Siheng Chen
Yanning Shen
Ge Liu
Ivor W. Tsang
Ya-Qin Zhang
22
42
0
02 Jul 2021
Modelling Neuronal Behaviour with Time Series Regression: Recurrent
  Neural Networks on C. Elegans Data
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data
Gonçalo Mestre
Ruxandra Bărbulescu
Arlindo L. Oliveira
L. M. Silveira
7
1
0
01 Jul 2021
TENT: Tensorized Encoder Transformer for Temperature Forecasting
TENT: Tensorized Encoder Transformer for Temperature Forecasting
Onur Bilgin
Paweł Mąka
Thomas Vergutz
S. Mehrkanoon
AI4TS
27
13
0
28 Jun 2021
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
41
2,098
0
24 Jun 2021
TS2Vec: Towards Universal Representation of Time Series
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
AI4TS
18
545
0
19 Jun 2021
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion
Amirreza Farnoosh
Sarah Ostadabbas
13
3
0
18 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with
  Continuous Energy-based Generative Models
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
Tijin Yan
Hongwei Zhang
Tong Zhou
Yufeng Zhan
Yuanqing Xia
DiffM
AI4TS
36
38
0
18 Jun 2021
SCINet: Time Series Modeling and Forecasting with Sample Convolution and
  Interaction
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao Liu
Ailing Zeng
Mu-Hwa Chen
Zhijian Xu
Qiuxia Lai
Lingna Ma
Qiang Xu
AI4TS
21
340
0
17 Jun 2021
Hierarchically Regularized Deep Forecasting
Hierarchically Regularized Deep Forecasting
Biswajit Paria
Rajat Sen
Amr Ahmed
Abhimanyu Das
AI4TS
25
16
0
14 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
Soumyasundar Pal
Liheng Ma
Yingxue Zhang
Mark J. Coates
BDL
AI4TS
31
22
0
10 Jun 2021
Deep Particulate Matter Forecasting Model Using Correntropy-Induced Loss
Deep Particulate Matter Forecasting Model Using Correntropy-Induced Loss
Jongsu Kim
Changhoon Lee
12
3
0
06 Jun 2021
A Survey on Anomaly Detection for Technical Systems using LSTM Networks
A Survey on Anomaly Detection for Technical Systems using LSTM Networks
Benjamin Lindemann
Benjamin Maschler
N. Sahlab
M. Weyrich
AI4TS
4
270
0
28 May 2021
Monash Time Series Forecasting Archive
Monash Time Series Forecasting Archive
Rakshitha Godahewa
Christoph Bergmeir
Geoffrey I. Webb
Rob J. Hyndman
Pablo Montero-Manso
AI4TS
18
144
0
14 May 2021
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost
  Air Monitoring Sensors
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors
Haomin Yu
Yangli-ao Geng
Yingjun Zhang
Qingyong Li
Jiayu Zhou
20
0
0
10 May 2021
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A
  Review and Future Directions
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
Tahseen Khan
Wenhong Tian
Rajkumar Buyya
16
95
0
09 May 2021
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic
  Data Imputation
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
Xinyu Chen
Mengying Lei
Nicolas Saunier
Lijun Sun
21
102
0
30 Apr 2021
Stochastic Recurrent Neural Network for Multistep Time Series
  Forecasting
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting
Zexuan Yin
P. Barucca
BDL
13
4
0
26 Apr 2021
Deep Time Series Forecasting with Shape and Temporal Criteria
Deep Time Series Forecasting with Shape and Temporal Criteria
Vincent Le Guen
Nicolas Thome
AI4TS
32
27
0
09 Apr 2021
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