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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
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics
Mohsen Zand
Ali Etemad
Michael A. Greenspan
AI4CE
15
5
0
09 Apr 2021
Learnable Dynamic Temporal Pooling for Time Series Classification
Learnable Dynamic Temporal Pooling for Time Series Classification
Dongha Lee
Seonghyeon Lee
Hwanjo Yu
AI4TS
27
28
0
02 Apr 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from
  Observation
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
F. Torabi
Garrett A. Warnell
Yufei Xu
19
27
0
31 Mar 2021
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence
  Time-series Forecasting
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
Yue Cui
Jiandong Xie
Kai Zheng
AI4TS
14
53
0
30 Mar 2021
Accurate and Reliable Forecasting using Stochastic Differential
  Equations
Accurate and Reliable Forecasting using Stochastic Differential Equations
Peng Cui
Zhijie Deng
Wenbo Hu
Jun Zhu
UQCV
38
1
0
28 Mar 2021
An Experimental Review on Deep Learning Architectures for Time Series
  Forecasting
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
Pedro Lara-Benítez
Manuel Carranza-García
José Cristóbal Riquelme Santos
AI4TS
19
305
0
22 Mar 2021
Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value
  Theory
Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
Mingyue Zhang Wu
Jinzhu Luo
Xing Fang
Maochao Xu
Peng Zhao
17
12
0
15 Mar 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series
  Forecasting
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao
Yujing Wang
Juanyong Duan
Ce Zhang
Xia Zhu
...
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
16
498
0
13 Mar 2021
Variance Reduced Training with Stratified Sampling for Forecasting
  Models
Variance Reduced Training with Stratified Sampling for Forecasting Models
Yucheng Lu
Youngsuk Park
Lifan Chen
Bernie Wang
Christopher De Sa
Dean Phillips Foster
AI4TS
38
17
0
02 Mar 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related
  Time Series
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
Xing Han
S. Dasgupta
Joydeep Ghosh
AI4TS
31
34
0
25 Feb 2021
AutoAI-TS: AutoAI for Time Series Forecasting
AutoAI-TS: AutoAI for Time Series Forecasting
Syed Yousaf Shah
Dhaval Patel
Long Vu
Xuan-Hong Dang
Bei Chen
...
Gregory Bramble
Wesley M. Gifford
Giridhar Ganapavarapu
Roman Vaculin
Petros Zerfos
AI4TS
21
42
0
24 Feb 2021
Feature Selection for Multivariate Time Series via Network Pruning
Feature Selection for Multivariate Time Series via Network Pruning
Kang Gu
Soroush Vosoughi
T. Prioleau
AI4TS
24
5
0
11 Feb 2021
Systematic Generalization in Neural Networks-based Multivariate Time
  Series Forecasting Models
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models
Hritik Bansal
Gantavya Bhatt
Pankaj Malhotra
Prathosh A.P.
CML
AI4TS
16
0
0
10 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic
  Time Series Forecasting
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul
Calvin Seward
Ingmar Schuster
Roland Vollgraf
DiffM
47
303
0
28 Jan 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Fan-Keng Sun
C. Lang
Duane S. Boning
OOD
AI4TS
32
28
0
28 Jan 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate
  Time Series Forecasting
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
Nam H. Nguyen
Brian Quanz
BDL
AI4TS
135
66
0
25 Jan 2021
Multi-Task Time Series Forecasting With Shared Attention
Multi-Task Time Series Forecasting With Shared Attention
Zekai Chen
Jiaze E
Xiao Zhang
Hao Sheng
Xiuzhen Cheng
AI4TS
38
18
0
24 Jan 2021
Short-term daily precipitation forecasting with seasonally-integrated
  autoencoder
Short-term daily precipitation forecasting with seasonally-integrated autoencoder
Donlapark Ponnoprat
AI4TS
23
18
0
23 Jan 2021
Demand Forecasting for Platelet Usage: from Univariate Time Series to
  Multivariate Models
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
M. Motamedi
Jessica Dawson
Na Li
D. Down
N. Heddle
AI4TS
16
20
0
06 Jan 2021
Do We Really Need Deep Learning Models for Time Series Forecasting?
Do We Really Need Deep Learning Models for Time Series Forecasting?
Shereen Elsayed
Daniela Thyssens
Ahmed Rashed
H. Jomaa
Lars Schmidt-Thieme
AI4TS
16
105
0
06 Jan 2021
Passenger Mobility Prediction via Representation Learning for Dynamic
  Directed and Weighted Graph
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph
Yuandong Wang
Hongzhi Yin
Tong Chen
Chunyang Liu
Ben Wang
Tianyu Wo
Jie Xu
AI4TS
72
19
0
04 Jan 2021
Trader-Company Method: A Metaheuristic for Interpretable Stock Price
  Prediction
Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction
Katsuya Ito
Kentaro Minami
Kentaro Imajo
Kei Nakagawa
AIFin
15
13
0
18 Dec 2020
Series Saliency: Temporal Interpretation for Multivariate Time Series
  Forecasting
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting
Qingyi Pan
Wenbo Hu
Jun Zhu
FAtt
AI4TS
25
7
0
16 Dec 2020
Forecasting: theory and practice
Forecasting: theory and practice
F. Petropoulos
D. Apiletti
Vassilios Assimakopoulos
M. Z. Babai
Devon K. Barrow
...
J. Arenas
Xiaoqian Wang
R. L. Winkler
Alisa Yusupova
F. Ziel
AI4TS
36
363
0
04 Dec 2020
TERMCast: Temporal Relation Modeling for Effective Urban Flow
  Forecasting
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting
Hao Xue
Flora Salim
AI4TS
11
21
0
11 Nov 2020
Time Series Forecasting with Stacked Long Short-Term Memory Networks
Time Series Forecasting with Stacked Long Short-Term Memory Networks
Frank Xiao
AI4TS
6
4
0
02 Nov 2020
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with
  Application to COVID-19
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19
Yunling Zheng
Zhijian Li
Jack Xin
Guofa Zhou
12
10
0
18 Oct 2020
Improved Predictive Deep Temporal Neural Networks with Trend Filtering
Improved Predictive Deep Temporal Neural Networks with Trend Filtering
Youngjin Park
Deokjun Eom
Byoung Ki Seo
Jaesik Choi
AI4TS
20
3
0
16 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal
  Diversity
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Vincent Le Guen
Nicolas Thome
AI4TS
18
26
0
14 Oct 2020
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer
  of Scientific Concepts across Text Corpora
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora
Hancheng Cao
Mengjie Cheng
Zhepeng Cen
Daniel A. McFarland
Xiang Ren
CLIP
MedIm
6
10
0
13 Oct 2020
HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
Niccolò Dalmasso
Galen B. Vincent
D. Hammerling
Ann B. Lee
AI4Cl
18
0
0
08 Oct 2020
Structural Forecasting for Tropical Cyclone Intensity Prediction:
  Providing Insight with Deep Learning
Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning
Trey McNeely
Niccolò Dalmasso
Kimberly M. Wood
Ann B. Lee
16
1
0
07 Oct 2020
Knowledge Adaption for Demand Prediction based on Multi-task Memory
  Neural Network
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Can Li
Lei Bai
Wei Liu
Lina Yao
S. Waller
AI4TS
9
22
0
12 Sep 2020
Deep Switching Auto-Regressive Factorization:Application to Time Series
  Forecasting
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting
Amirreza Farnoosh
Bahar Azari
Sarah Ostadabbas
BDL
AI4TS
12
20
0
10 Sep 2020
LAVARNET: Neural Network Modeling of Causal Variable Relationships for
  Multivariate Time Series Forecasting
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting
C. Koutlis
Symeon Papadopoulos
Emmanouil Schinas
Y. Kompatsiaris
CML
AI4TS
6
15
0
02 Sep 2020
Pay Attention to Evolution: Time Series Forecasting with Deep
  Graph-Evolution Learning
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
Gabriel Spadon
linda Qiao
Bruno Brandoli
Stan Matwin
Jose F. Rodrigues-Jr
Jimeng Sun
AI4TS
31
57
0
28 Aug 2020
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate
  Time Series Forecasting
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting
Yueyang Wang
Ziheng Duan
Yida Huang
Haoyan Xu
Jie Feng
Anni Ren
BDL
AI4TS
6
31
0
19 Aug 2020
Parallel Extraction of Long-term Trends and Short-term Fluctuation
  Framework for Multivariate Time Series Forecasting
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting
Yida Huang
Ziheng Duan
Haoyan Xu
Jie Feng
Anni Ren
Pengyu Song
Xiaoqian Wang
AI4TS
13
4
0
18 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques,
  Application Scenarios, and Datasets
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets
Pedro Miguel Sánchez Sánchez
José María Jorquera Valero
Alberto Huertas Celdrán
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
27
95
0
07 Aug 2020
Improving the Accuracy of Global Forecasting Models using Time Series
  Data Augmentation
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
Kasun Bandara
Hansika Hewamalage
Yuan-Hao Liu
Yanfei Kang
Christoph Bergmeir
AI4TS
18
114
0
06 Aug 2020
Relation-aware Meta-learning for Market Segment Demand Prediction with
  Limited Records
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Jiatu Shi
Huaxiu Yao
Xian Wu
Tong Li
Zedong Lin
Tengfei Wang
Binqiang Zhao
11
1
0
01 Aug 2020
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal
  Traffic Forecasting
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin
A. Amini
Lucy Coyle
Mark J. Coates
AI4TS
14
94
0
30 Jul 2020
Prediction of hierarchical time series using structured regularization
  and its application to artificial neural networks
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks
Tomokaze Shiratori
Ken Kobayashi
Yuichi Takano
AI4TS
13
11
0
30 Jul 2020
Graph Gamma Process Generalized Linear Dynamical Systems
Graph Gamma Process Generalized Linear Dynamical Systems
Rahi Kalantari
Mingyuan Zhou
14
2
0
25 Jul 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNN
AI4TS
17
1,150
0
06 Jul 2020
Handling Variable-Dimensional Time Series with Graph Neural Networks
Handling Variable-Dimensional Time Series with Graph Neural Networks
Vibhor Gupta
Jyoti Narwariya
Pankaj Malhotra
L. Vig
Gautam M. Shroff
AI4TS
6
6
0
01 Jul 2020
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series
  Forecasting
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Xinyu Chen
Lijun Sun
AI4TS
11
21
0
18 Jun 2020
Calibrated Reliable Regression using Maximum Mean Discrepancy
Calibrated Reliable Regression using Maximum Mean Discrepancy
Peng Cui
Wenbo Hu
Jun Zhu
UQCV
6
47
0
18 Jun 2020
Stanza: A Nonlinear State Space Model for Probabilistic Inference in
  Non-Stationary Time Series
Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series
Anna K. Yanchenko
S. Mukherjee
BDL
AI4TS
8
6
0
11 Jun 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph
  Neural Networks
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Xiaojun Chang
Chengqi Zhang
AI4TS
39
1,346
0
24 May 2020
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