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
Anchor Data Augmentation Nora Schneider Shirin Goshtasbpour Fernando Pérez-Cruz 18 6 0 12 Nov 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi Qi Zhang Wei Fan Hui He Liang Hu Pengyang Wang Ning An Longbin Cao ZhenDong Niu AI4TS 45 106 0 10 Nov 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 61 124 0 10 Nov 2023
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations S. Lim Jaehyeon Park Seojin Kim Hyowon Wi Haksoo Lim Jinsung Jeon Jeongwhan Choi Noseong Park AI4TS AI4CE 21 2 0 08 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting Yitian Zhang Liheng Ma Soumyasundar Pal Yingxue Zhang Mark J. Coates AI4TS 33 27 0 07 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley Gurnoor Singh Khurana Chirag Mohapatra Siddartha Naidu Colin White AI4TS 86 59 0 03 Nov 2023
Cooperative Network Learning for Large-Scale and Decentralized Graphs Qiang Wu Yiming Huang Yujie Zeng Yujie Teng Fang Zhou Linyuan Lu GNN FedML 37 0 0 03 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction José Daniel Viqueira Daniel Faílde M. M. Juane Andrés Gómez David Mera 28 5 0 31 Oct 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 28 30 0 31 Oct 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 42 4 0 31 Oct 2023
Enhancing Traffic Prediction with Learnable Filter Module Yuanshao Zhu Yongchao Ye Xiangyu Zhao James J. Q. Yu 29 0 0 24 Oct 2023
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift Mouxiang Chen Lefei Shen Han Fu Zhuo Li Jianling Sun Chenghao Liu AI4TS 22 3 0 23 Oct 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting Xu Liu Junfeng Hu Yuan N. Li Shizhe Diao Keli Zhang Bryan Hooi Roger Zimmermann AI4TS 27 77 0 15 Oct 2023
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning Jiecheng Lu Xu Han Shihao Yang AI4TS 19 2 0 14 Oct 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 40 4 0 12 Oct 2023
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons Jiawen Zhang Xumeng Wen Zhenwei Zhang Shun Zheng Jia Li Jiang Bian AI4TS 43 0 0 11 Oct 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 24 447 0 10 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis Zezhi Shao Fei Wang Yongjun Xu Wei Wei Chengqing Yu ... Guangyin Jin Xin Cao Gao Cong Christian S. Jensen Xueqi Cheng AI4TS 23 59 0 09 Oct 2023
Performative Time-Series Forecasting Zhiyuan Zhao Alexander Rodríguez B. Prakash AI4TS 32 4 0 09 Oct 2023
Sparse Deep Learning for Time Series Data: Theory and Applications Mingxuan Zhang Y. Sun Faming Liang AI4TS OOD BDL 39 2 0 05 Oct 2023
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control L. Saad Saoud Irfan Hussain 30 2 0 03 Oct 2023
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting Zeying Gong Yujin Tang Junwei Liang KELM AI4TS 29 27 0 01 Oct 2023
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST Guoqi Yu Hailun Yao Huan Zheng Ximing Xu 31 0 0 26 Sep 2023
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation Z. Cai Renhe Jiang Xinyu Yang Zhaonan Wang Diansheng Guo Hiroki Kobayashi Xuan Song Ryosuke Shibasaki AI4TS 20 12 0 25 Sep 2023
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting Peiyuan Liu Beiliang Wu Naiqi Li Tao Dai Fengmao Lei Jigang Bao Yong Jiang Shutao Xia AI4TS 46 4 0 20 Sep 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling Kshitij Tayal Arvind Renganathan Rahul Ghosh X. Jia Vipin Kumar SyDa AI4CE 55 5 0 19 Sep 2023
TSGBench: Time Series Generation Benchmark Yihao Ang Qiang Huang Yifan Bao Anthony K. H. Tung Zhiyong Huang AI4TS 34 16 0 07 Sep 2023
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series Chaoqun Wang Yijun Li Xiangqian Sun Qi Wu DongDong Wang Zhixiang Huang FAtt AI4TS 16 1 0 26 Aug 2023
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting Yifan Zhang Rui Wu S. Dascalu F. Harris AI4TS 27 17 0 23 Aug 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 37 51 0 22 Aug 2023
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection Haotian Si Changhua Pei Zhihan Li Yadong Zhao Jingjing Li Haiming Zhang Zulong Diao Jianhui Li Gaogang Xie Dan Pei AI4TS 26 4 0 17 Aug 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Ching Chang Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 38 46 0 16 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 40 19 0 09 Aug 2023
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction Chengqing Yu Fei Wang Zezhi Shao Tao Sun Lin Wu Yongjun Xu AI4TS 32 74 0 07 Aug 2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting Christopher Salazar A. Banerjee AI4TS 26 2 0 28 Jul 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 38 6 0 27 Jul 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 20 46 0 21 Jul 2023
Meta-Transformer: A Unified Framework for Multimodal Learning Yiyuan Zhang Kaixiong Gong Kaipeng Zhang Hongsheng Li Yu Qiao Wanli Ouyang Xiangyu Yue 33 137 0 20 Jul 2023
GBT: Two-stage transformer framework for non-stationary time series forecasting Li Shen Yuning Wei Yangzhu Wang AI4TS 24 23 0 17 Jul 2023
Visual Explanations with Attributions and Counterfactuals on Time Series Classification U. Schlegel Daniela Oelke Daniel A. Keim Mennatallah El-Assady AI4TS FAtt 37 4 0 14 Jul 2023
Benchmarks and Custom Package for Electrical Load Forecasting Zhixian Wang Qingsong Wen Chaoli Zhang Liang Sun Leandro Von Krannichfeldt Yi Wang AI4TS 29 3 0 14 Jul 2023
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting Tianlong Zhao Xiang Ma Xue-mei Li Caiming Zhang AI4TS 22 2 0 13 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 44 143 0 07 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 27 14 0 04 Jul 2023
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale Tong Nie Guoyang Qin Lijun Sun Wei Ma Yuewen Mei Jiangming Sun AI4TS 25 2 0 04 Jul 2023
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting Nhat Tran Jack Xin AI4TS 33 6 0 02 Jul 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 26 0 0 30 Jun 2023
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting Ngoc-Dung Do Truong-Son Hy D. Nguyen AI4TS 16 0 0 29 Jun 2023
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity Yuanrong Wang Antonio Briola T. Aste 38 5 0 27 Jun 2023