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"

50 / 595 papers shown

Title
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures Tianze Zhang Yizhuo Zhang Wei Cao Jiang Bian Xiaohan Yi Shun Zheng Jian Li BDL AI4TS 95 155 0 04 Jul 2022
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
Multi-Variate Time Series Forecasting on Variable Subsets Jatin Chauhan A. Raghuveer Rishi Saket Jay Nandy B. Ravindran AI4TS 33 9 0 25 Jun 2022
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting Tian Zhou Jianqing Zhu Xue Wang Ziqing Ma Qingsong Wen Liang Sun Rong Jin AI4TS 43 4 0 24 Jun 2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Amin Shabani A. Abdi Li Meng Tristan Sylvain AI4TS 27 61 0 08 Jun 2022
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics* Gabriel Spadon José F. Rodrigues GNN HAI 24 0 0 01 Jun 2022
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting Kashif Rasul Young-Jin Park Max Nihlén Ramström KyungHyun Kim BDL AI4TS 15 3 0 31 May 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting Yong Liu Haixu Wu Jianmin Wang Mingsheng Long AI4TS 20 380 0 28 May 2022
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering Xing Han Tongzheng Ren Jing Hu Joydeep Ghosh Nhat Ho AI4TS 27 0 0 27 May 2022
Are Transformers Effective for Time Series Forecasting? Ailing Zeng Mu-Hwa Chen L. Zhang Qiang Xu AI4TS 78 1,613 0 26 May 2022
FreDo: Frequency Domain-based Long-Term Time Series Forecasting Fan-Keng Sun Duane S. Boning AI4TS 50 11 0 24 May 2022
Neural Additive Models for Nowcasting Wonkeun Jo Dongil Kim 23 4 0 20 May 2022
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 Shibo Feng Chunyan Miao Ke-Li Xu Jiaxiang Wu Pengcheng Wu Fan Lin P. Zhao BDL AI4TS 12 22 0 16 May 2022
Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction Ning Wang AI4TS 19 0 0 08 May 2022
Transformers in Time-series Analysis: A Tutorial Sabeen Ahmed Ian E. Nielsen Aakash Tripathi Shamoon Siddiqui Ghulam Rasool R. Ramachandran AI4TS 36 142 0 28 Apr 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network Haitao Lin Guojiang Zhao Lirong Wu Stan Z. Li AI4TS AI4CE 18 1 0 18 Apr 2022
Research on Domain Information Mining and Theme Evolution of Scientific Papers Changwei Zheng Zhe Xue M. Liang Feifei Kou Zeli Guan AI4CE 27 0 0 18 Apr 2022
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products Stefanos-Iordanis Papadopoulos C. Koutlis Symeon Papadopoulos Y. Kompatsiaris 27 20 0 08 Apr 2022
Research topic trend prediction of scientific papers based on spatial enhancement and dynamic graph convolution network Changwei Zheng Zhe Xue M. Liang Feifei Kou GNN 11 0 0 30 Mar 2022
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning Chunnan Wang Xing-Yu Chen Chen-Hung Wu Hongzhi Wang TPM AI4TS 24 4 0 26 Mar 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 67 89 0 21 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions Vibhor Gupta Jyoti Narwariya Pankaj Malhotra L. Vig Gautam M. Shroff AI4TS 32 20 0 14 Mar 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series Yuanrong Wang T. Aste AI4TS 26 10 0 08 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference Victor Garcia Satorras Syama Sundar Rangapuram Tim Januschowski AI4TS 46 28 0 07 Mar 2022
Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning Gabriel Spadon M. D. Ferreira Amílcar Soares Stan Matwin 25 9 0 24 Feb 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting Dazhao Du Bing-Huang Su Zhewei Wei AI4TS 15 43 0 23 Feb 2022
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks Wenying Duan Xiaoxi He Lu Zhou Lothar Thiele Hong Rao TTA AI4TS 32 10 0 22 Feb 2022
Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection Heejeong Choi Subin Kim Pilsung Kang AI4TS 11 4 0 21 Feb 2022
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting Lin Huang Lijun Wu Jia Zhang Jiang Bian Tie-Yan Liu AI4TS 34 2 0 18 Feb 2022
SAITS: Self-Attention-based Imputation for Time Series Wenjie Du David Cote Yong-Jin Liu AI4TS 21 230 0 17 Feb 2022
Multi-Objective Model Selection for Time Series Forecasting Oliver Borchert David Salinas Valentin Flunkert Tim Januschowski Stephan Günnemann AI4TS 21 9 0 17 Feb 2022
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs Ming Jin Yu Zheng Yuanhao Li Siheng Chen B. Yang Shirui Pan BDL AI4TS AI4CE 28 100 0 17 Feb 2022
Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model Pengyue Jia Ling-Hao Chen Dandan Lyu 9 3 0 13 Feb 2022
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
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 117 394 0 03 Feb 2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Guosheng Lin AI4TS 31 162 0 03 Feb 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco A. Dubrawski AI4TS 34 262 0 30 Jan 2022
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
Balanced Graph Structure Learning for Multivariate Time Series Forecasting Weijun Chen Yanze Wang Chengshuo Du Zhenglong Jia Feng Liu Ran Chen AI4TS 23 1 0 24 Jan 2022
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability Alireza Koochali P. Schichtel Andreas Dengel Sheraz Ahmed 40 11 0 21 Jan 2022
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting Ling-Hao Chen Donghui Chen Zongjiang Shang Binqing Wu Cen Zheng Bo Wen Wei Zhang AI4TS AI4CE 24 61 0 13 Jan 2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection Yu-xin Zhang Jindong Wang Yiqiang Chen Hanchao Yu Tao Qin AI4TS 33 54 0 03 Jan 2022
Dynamic Combination of Heterogeneous Models for Hierarchical Time Series Xing Han Jing Hu Joydeep Ghosh AI4TS 19 2 0 22 Dec 2021
AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version Xinle Wu Dalin Zhang Chenjuan Guo Chaoyang He B. Yang Christian S. Jensen AI4TS 36 68 0 21 Dec 2021
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Yang Lin I. Koprinska Mashud Rana BDL AI4TS 26 31 0 19 Dec 2021
Deep Generative Models for Vehicle Speed Trajectories F. Behnia D. Karbowski Vadim Sokolov 33 1 0 14 Dec 2021
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
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams Tahiya Chowdhury Murtadha M. N. Aldeer Shantanu Laghate Jorge Ortiz AI4TS 15 2 0 06 Dec 2021
Parameter Efficient Deep Probabilistic Forecasting O. Sprangers Sebastian Schelter Maarten de Rijke BDL AI4TS 36 21 0 06 Dec 2021