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

21 March 2017

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

44 / 594 papers shown

Title
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models Stephan Rabanser Tim Januschowski Valentin Flunkert David Salinas Jan Gasthaus BDL AI4TS 16 20 0 20 May 2020
Multivariate Time Series Forecasting with Transfer Entropy Graph Ziheng Duan Haoyan Xu Yida Huang Jie Feng Pengyu Song CML BDL AI4TS 27 36 0 03 May 2020
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN Alireza Koochali Andreas Dengel Sheraz Ahmed AI4TS 28 31 0 03 May 2020
Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks Ruohong Zhang Yu Hao Donghan Yu Wei-Cheng Chang Guokun Lai Yiming Yang 6 1 0 24 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020
Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions Xueyan Yin Genze Wu Jinze Wei Yanming Shen Heng Qi Baocai Yin AI4TS 25 45 0 18 Apr 2020
Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic Rodrigo Minetto Maurício Pamplona Segundo G. Rotich Sudeep Sarkar 6 28 0 16 Apr 2020
Flexible Transmitter Network Shao-Qun Zhang Zhi-Hua Zhou 19 14 0 08 Apr 2020
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction Rodrigo de Medrano J. Aznarte AI4TS 21 23 0 31 Mar 2020
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting Qiquan Shi Jiaming Yin Jiajun Cai A. Cichocki Tatsuya Yokota Lei Chen Mingxuan Yuan Jia Zeng AI4TS 9 87 0 25 Feb 2020
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks Jing Gao Xiaomin Song Qingsong Wen Pichao Wang Liang Sun Huan Xu AI4TS 31 133 0 21 Feb 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul Abdul-Saboor Sheikh Ingmar Schuster Urs M. Bergmann Roland Vollgraf BDL AI4TS AI4CE 24 179 0 14 Feb 2020
Temporal Tensor Transformation Network for Multivariate Time Series Prediction Yuya Jeremy Ong Mu Qiao D. Jadav AI4TS 11 4 0 04 Jan 2020
Towards Better Forecasting by Fusing Near and Distant Future Visions Jiezhu Cheng Kaizhu Huang Zibin Zheng AI4TS 14 50 0 11 Dec 2019
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting Rafaela C. Nascimento Y. M. Souto Eduardo S. Ogasawara Fábio Porto Eduardo Bezerra AI4TS 17 82 0 30 Nov 2019
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values Xianfeng Tang Huaxiu Yao Yiwei Sun Charu C. Aggarwal P. Mitra Suhang Wang AI4TS 43 116 0 22 Nov 2019
Sequence-Aware Factorization Machines for Temporal Predictive Analytics Tong Chen Hongzhi Yin Quoc Viet Hung Nguyen Wen-Chih Peng Xue Li Xiaofang Zhou 11 63 0 07 Nov 2019
You May Not Need Order in Time Series Forecasting Yunkai Zhang Qiao Jiang Shurui Li Xiaoyong Jin Xueying Ma Xifeng Yan AI4TS 16 3 0 21 Oct 2019
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos? Gege Zhang Gang-cheng Li Ningwei Shen Weidong Zhang 14 6 0 11 Oct 2019
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 30 223 0 07 Oct 2019
A Quantile-based Approach for Hyperparameter Transfer Learning David Salinas Huibin Shen Valerio Perrone 14 3 0 30 Sep 2019
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series Jinho Lee Seokho Yi Jaewoo Kang AI4TS 20 15 0 24 Sep 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Vincent Le Guen Nicolas Thome AI4TS 32 134 0 19 Sep 2019
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning L. Nguyen Zhenhe Pan Opeyemi Openiyi Hashim Abu-gellban M. Moghadasi Fang Jin AI4TS 20 9 0 17 Sep 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns Kasun Bandara Christoph Bergmeir Hansika Hewamalage AI4TS 17 138 0 10 Sep 2019
Differential Equation Units: Learning Functional Forms of Activation Functions from Data MohamadAli Torkamani Shiv Shankar Pedram Rooshenas Phillip Wallis 13 2 0 06 Sep 2019
Compact Autoregressive Network Di Wang Feiqing Huang Jingyu Zhao Guodong Li Guangjian Tian 7 3 0 06 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 11 872 0 02 Sep 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li Xiaoyong Jin Yao Xuan Xiyou Zhou Wenhu Chen Yu-Xiang Wang Xifeng Yan AI4TS 12 1,382 0 29 Jun 2019
There is no Artificial General Intelligence Jobst Landgrebe B. Smith AI4CE 6 8 0 09 Jun 2019
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA Amin Azari P. Papapetrou S. Denic Gunnar Peters AI4TS 12 71 0 03 Jun 2019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data Tian Guo Tao R. Lin Nino Antulov-Fantulin AI4TS 26 154 0 28 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding Doyup Lee Suehun Jung Yeongjae Cheon Dongil Kim Seungil You AI4TS 4 6 0 26 May 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Rajat Sen Hsiang-Fu Yu Inderjit Dhillon AI4TS 20 347 0 09 May 2019
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches Amin Azari P. Papapetrou S. Denic Gunnar Peters 14 33 0 09 May 2019
Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction Matteo Maggiolo Gerasimos Spanakis AI4TS BDL 14 9 0 06 Mar 2019
Kernel Change-point Detection with Auxiliary Deep Generative Models Wei-Cheng Chang Chun-Liang Li Yiming Yang Barnabás Póczós 16 67 0 18 Jan 2019
seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention Xuan-Hong Dang S. Y. Shah Petros Zerfos AI4TS 8 9 0 07 Dec 2018
Temporal Pattern Attention for Multivariate Time Series Forecasting Shun-Yao Shih Fan-Keng Sun Hung-yi Lee AI4TS 29 706 0 12 Sep 2018
A Memory-Network Based Solution for Multivariate Time-Series Forecasting Yen-Yu Chang Fan-Yun Sun Yueh-hua Wu Shou-De Lin AI4TS 18 68 0 06 Sep 2018
Multi-variable LSTM neural network for autoregressive exogenous model Tian Guo Tao R. Lin BDL AI4TS 30 19 0 17 Jun 2018
Learning Depthwise Separable Graph Convolution from Data Manifold Guokun Lai Hanxiao Liu Yiming Yang 35 1 0 31 Oct 2017
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting Hardik Goel Igor Melnyk A. Banerjee AI4TS 28 32 0 10 Sep 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 213 1,897 0 06 Jun 2016