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
Comparative Study of Predicting Stock Index Using Deep Learning Models Harshal Patel B. Bolla Sabeesh Ethiraj D. Reddy AI4TS 18 1 0 24 Jun 2023
Transformer Training Strategies for Forecasting Multiple Load Time Series Matthias Hertel Maximilian Beichter Benedikt Heidrich Oliver Neumann Benjamin Schafer Ralf Mikut V. Hagenmeyer AI4TS 27 12 0 19 Jun 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 13 7 0 19 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 117 102 0 16 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 30 19 0 14 Jun 2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting Xing Wang Zhendong Wang Kexin Yang Junlan Feng Zhi-yan Song Chao Deng Lin Zhu AI4TS 25 3 0 12 Jun 2023
Non-autoregressive Conditional Diffusion Models for Time Series Prediction Lifeng Shen James Kwok DiffM AI4CE 28 48 0 08 Jun 2023
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? Daojun Liang Haixia Zhang Dongfeng Yuan Xiaoyan Ma Dongyang Li Minggao Zhang AI4TS 19 5 0 08 Jun 2023
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
An End-to-End Time Series Model for Simultaneous Imputation and Forecast Trang H. Tran Lam M. Nguyen K. Yeo Nam H. Nguyen Dzung Phan Roman Vaculin Jayant Kalagnanam SyDa BDL AI4TS 29 3 0 01 Jun 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting Jiewen Deng Jinliang Deng Renhe Jiang Xuan Song AI4TS 31 5 0 01 Jun 2023
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities Maryam Shaygan Collin Meese Wanxin Li Xiaoliang (George) Zhao Mark M. Nejad 38 109 0 31 May 2023
Taylorformer: Probabilistic Predictions for Time Series and other Processes Omer Nivron R. Parthipan Damon J. Wischik BDL AI4TS 21 2 0 30 May 2023
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
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 32 103 0 30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu AI4TS AI4CE 34 1 0 28 May 2023
Better Batch for Deep Probabilistic Time Series Forecasting Vincent Zhihao Zheng Seongjin Choi Lijun Sun AI4TS 22 3 0 26 May 2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting Zheng Sun Yi Wei Wenxiao Jia Long Yu AI4TS 28 0 0 25 May 2023
TLNets: Transformation Learning Networks for long-range time-series prediction Wen Wang Yang Liu Haoqin Sun AI4TS 33 3 0 25 May 2023
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
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Du Yin Yezhou Yang Xuan Song Ivor W. Tsang BDL AI4TS 32 16 0 22 May 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare Panayiotis Danassis Shresth Verma J. Killian Aparna Taneja Milind Tambe 10 6 0 22 May 2023
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
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Zhe Li Shiyi Qi Yiduo Li Zenglin Xu AI4TS 23 103 0 18 May 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Yu Chen Wei Deng Shikai Fang Fengpei Li Ni Yang Yikai Zhang Kashif Rasul Shandian Zhe Anderson Schneider Yuriy Nevmyvaka OT AI4TS 41 26 0 12 May 2023
Message Passing Neural Networks for Traffic Forecasting Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora Salim GNN 25 6 0 09 May 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 25 85 0 11 Apr 2023
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network Min Hu Zhizhong Tan Bin Liu Guosheng Yin AIFin AI4TS 10 0 0 29 Mar 2023
Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo Wei Cheng Yingheng Wang Dongkuan Xu Jingchao Ni ... Xuchao Zhang Yanchi Liu Yuncong Chen Haifeng Chen Xiang Zhang AI4TS 24 55 0 21 Mar 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 30 1 0 18 Mar 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Zhigang Wang AI4TS 24 7 0 16 Mar 2023
Interpretable System Identification and Long-term Prediction on Time-Series Data Xiaoyin Liu Duxin Chen Wenjia Wei Xia Zhu Wenwu Yu AI4TS 18 0 0 02 Mar 2023
Multi-Task Self-Supervised Time-Series Representation Learning Heejeong Choi Pilsung Kang AI4TS SSL 52 11 0 02 Mar 2023
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density Junwoo Park Jungsoo Lee Youngin Cho W. Shin Dongmin Kim Jaegul Choo Edward Choi AI4TS 22 6 0 27 Feb 2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting Zhichen Lai Dalin Zhang Huan Li Christian S. Jensen Hua Lu Yan Zhao AI4TS 35 29 0 23 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 30 385 0 23 Feb 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift Luca Masserano Syama Sundar Rangapuram Shubham Kapoor Rajbir-Singh Nirwan Youngsuk Park Michael Bohlke-Schneider TTA AI4TS 34 2 0 23 Feb 2023
FrAug: Frequency Domain Augmentation for Time Series Forecasting Mu-Hwa Chen Zhijian Xu Ailing Zeng Qiang Xu AI4TS 27 8 0 18 Feb 2023
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing Zhe Li Zhongwen Rao Lujia Pan Zenglin Xu AI4TS 33 61 0 09 Feb 2023
Cross-Frequency Time Series Meta-Forecasting Mike Van Ness Huibin Shen Hongya Wang Xiaoyong Jin Danielle C. Maddix Karthick Gopalswamy AI4TS 32 3 0 04 Feb 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi Qi Zhang LongBing Cao Shoujin Wang Guodong Long Liang Hu Hui He ZhenDong Niu Wei Fan Hui Xiong AI4TS 57 22 0 04 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 31 3 0 02 Feb 2023
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective Hui He Qi Zhang Shoujin Wang Kun Yi ZhenDong Niu Longbin Cao AI4TS 37 12 0 27 Jan 2023
Ti-MAE: Self-Supervised Masked Time Series Autoencoders Zhe Li Zhongwen Rao Lujia Pan Pengyun Wang Zenglin Xu AI4TS 31 49 0 21 Jan 2023
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
GNN-based Passenger Request Prediction Aqsa Ashraf Makhdomi Iqra Altaf Gillani AI4TS 27 8 0 06 Jan 2023
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution Yan Li Xin Lu Haoyi Xiong Jian Tang Jian Su Bo Jin Dejing Dou AI4TS 15 24 0 05 Jan 2023
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem Peiwang Tang Xianchao Zhang AI4TS 45 3 0 04 Jan 2023
Detecting Change Intervals with Isolation Distributional Kernel Yang Cao Ye Zhu Kai Ming Ting Flora Salim Hong Xian Li Luxing Yang Gang Li 30 1 0 30 Dec 2022
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting Xiyuan Zhang Xiaoyong Jin Karthick Gopalswamy Gaurav Gupta Youngsuk Park Xingjian Shi Hongya Wang Danielle C. Maddix Yuyang Wang AI4TS 30 19 0 15 Dec 2022