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
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention Romain Ilbert Ambroise Odonnat Vasilii Feofanov Aladin Virmaux Giuseppe Paolo Themis Palpanas I. Redko AI4TS 52 22 0 15 Feb 2024
Loss Shaping Constraints for Long-Term Time Series Forecasting Ignacio Hounie Javier Porras-Valenzuela Alejandro Ribeiro AI4TS 27 0 0 14 Feb 2024
Hybrid Machine Learning techniques in the management of harmful algal blooms impact Andres Molares-Ulloa Daniel Rivero Jesús Gil Ruiz Enrique Fernández-Blanco Luis de la Fuente Valentín 20 8 0 14 Feb 2024
LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge Konstantinos Zacharopoulos Georgios Koutroumpas Ioannis Arapakis Konstantinos Georgopoulos Javad Khangosstar Sotiris Ioannidis GNN 18 0 0 08 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning Hao Wang Xu Ju Jiangtong Li Zhijian Xu Dawei Cheng Qiang Xu AI4TS KELM 38 19 0 07 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 71 111 0 06 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 120 165 0 04 Feb 2024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling Jiaxiang Dong Haixu Wu Yuxuan Wang Yunzhong Qiu Li Zhang Jianmin Wang Mingsheng Long AI4TS 23 13 0 04 Feb 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 32 22 0 04 Feb 2024
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals Daojun Liang Haixia Zhang Dongfeng Yuan Bingzheng Zhang Minggao Zhang AI4TS 21 4 0 04 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain Hao Wang Licheng Pan Zhichao Chen Degui Yang Sen Zhang Yifei Yang Xinggao Liu Haoxuan Li Dacheng Tao AI4TS 62 14 0 04 Feb 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng Qingsong Wen Yang Liu Liang Sun OOD AI4TS 13 5 0 03 Feb 2024
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes Haoran Zhao Wayne Isaac Tan Uy AI4TS 20 0 0 03 Feb 2024
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge Mohamed Mejri C. Amarnath Abhijit Chatterjee AI4TS 14 4 0 03 Feb 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks Changze Lv Yansen Wang Dongqi Han Xiaoqing Zheng Xuanjing Huang Dongsheng Li AI4TS TPM 34 4 0 02 Feb 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors Vincent Zhihao Zheng Lijun Sun BDL AI4TS 34 2 0 01 Feb 2024
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning Haozhi Gao Qianqian Ren Jinbao Li AI4TS 29 2 0 31 Jan 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators Lifan Zhao Yanyan Shen AI4TS AIFin 41 12 0 31 Jan 2024
From GARCH to Neural Network for Volatility Forecast Pengfei Zhao Haoren Zhu Wilfred Siu Hung Ng Dik Lun Lee AIFin 21 6 0 29 Jan 2024
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks M. A. Ma'sum MD Rasel Sarkar Mahardhika Pratama Savitha Ramasamy S. Anavatti Lin Liu Habibullah Habibullah Ryszard Kowalczyk AI4TS 27 0 0 25 Jan 2024
Probabilistic Demand Forecasting with Graph Neural Networks Nikita Kozodoi E. Zinovyeva Simon Valentin João Pereira Rodrigo Agundez AI4TS 16 0 0 23 Jan 2024
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms Esmaeel Mohammadi Mikkel Stokholm-Bjerregaard A. A. Hansen Per Halkjaer Nielsen D. O. Arroyo Petar Durdevic AI4CE 13 12 0 23 Jan 2024
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting Zongjiang Shang Ling Chen AI4TS 40 3 0 17 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 35 20 0 17 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie-jin Yang Siheng Chen FedML 32 0 0 16 Jan 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 75 15 0 08 Jan 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 32 8 0 05 Jan 2024
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods Peng-Hung Tsai Daniel Berleant R. Segall H. Aboudja Venkata Jaipal Reddy Batthula Sheela Duggirala M. Howell AI4TS 21 8 0 04 Jan 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting Xiang Ma Xue-mei Li Lexin Fang Tianlong Zhao Caiming Zhang AI4TS 13 13 0 04 Jan 2024
Kernel-U-Net: Symmetric and Hierarchical Architecture for Multivariate Time Series Forecasting Jiang You René Natowicz Arben Cela Jacob Ouanounou Patrick Siarry AI4TS 26 1 0 03 Jan 2024
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting Wanlin Cai Keli Zhang Xianggen Liu Jianshuai Feng Yuankai Wu AI4TS 38 73 0 31 Dec 2023
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting Weijun Chen Heyuan Wang Ye Tian Shijie Guan Ning Liu AI4TS 27 1 0 27 Dec 2023
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting Minbo Ma Jilin Hu Christian S. Jensen Fei Teng Peng Han Zhiqiang Xu Tian-Jie Li AI4TS 52 3 0 27 Dec 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 38 3 0 22 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 26 9 0 22 Dec 2023
Deep Non-Parametric Time Series Forecaster Syama Sundar Rangapuram Jan Gasthaus Lorenzo Stella Valentin Flunkert David Salinas Yuyang Wang Tim Januschowski AI4TS 38 5 0 22 Dec 2023
Short-Term Multi-Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention-GCN-LSTM Jie Liu Yijia Cao Yong Li Yixiu Guo Wei Deng 19 1 0 19 Dec 2023
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Yuansan Liu S. Wijewickrema Ang Li C. Bester Stephen O'Leary James Bailey ViT AI4TS 29 7 0 18 Dec 2023
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting Yanhong Li Jack L. Xu D. Anastasiu AI4TS 37 11 0 14 Dec 2023
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting Yifan Zhang Rui Wu S. Dascalu Frederick C. Harris AI4TS 55 3 0 11 Dec 2023
Mixture-of-Linear-Experts for Long-term Time Series Forecasting Ronghao Ni Zinan Lin Shuaiqi Wang Giulia Fanti AI4TS 26 15 0 11 Dec 2023
TPRNN: A Top-Down Pyramidal Recurrent Neural Network for Time Series Forecasting Ling Chen Jiahua Cui AI4TS 22 1 0 11 Dec 2023
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu AI4TS 13 4 0 10 Dec 2023
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series Ching Chang Chiao-Tung Chan Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 23 2 0 07 Dec 2023
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 32 21 0 06 Dec 2023
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 68 2 0 24 Nov 2023
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting Juhyeon Kim Hyungeun Lee Seungwon Yu Ung Hwang Wooyeol Jung Miseon Park Kijung Yoon AI4TS 11 2 0 21 Nov 2023
Correlated Attention in Transformers for Multivariate Time Series Quang Minh Nguyen Lam M. Nguyen Subhro Das AI4TS 21 0 0 20 Nov 2023
Self-Distilled Representation Learning for Time Series Felix Pieper Konstantin Ditschuneit Martin Genzel Alexandra Lindt Johannes Otterbach AI4TS 23 1 0 19 Nov 2023
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss Site Mo Haoxin Wang Bixiong Li Songhai Fan Yuankai Wu Xianggen Liu AI4TS 28 9 0 19 Nov 2023