Time-series forecasting

This page was last updated on 2025-03-03 06:06:01 UTC

Manually curated articles on Time-series forecasting

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
visibility_off A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, C. Alippi, G. I. Webb, Irwin King, Shirui Pan 2023-07-07 IEEE Transactions on Pattern Analysis and Machine Intelligence 103 50 open_in_new
visibility_off Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang, M. Zeman, Theodoros Tsiligkaridis, M. Zitnik 2021-10-11 ArXiv, International Conference on Learning Representations 99 48 open_in_new
visibility_off Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi 2023-02-08 Neural Information Processing Systems, ArXiv 27 50 open_in_new
visibility_off Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini, Daniele Zambon, C. Alippi 2022-05-26 J. Mach. Learn. Res., Journal of machine learning research 15 50 open_in_new
visibility_off Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson 2023-10-11 Neural Information Processing Systems, ArXiv 238 15 open_in_new
visibility_off Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe Wang, Oleksii Tsepa, Jun Ma, Bo Wang 2024-02-01 arXiv.org, ArXiv 70 5 open_in_new
visibility_off A decoder-only foundation model for time-series forecasting Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou 2023-10-14 ArXiv, International Conference on Machine Learning 137 14 open_in_new
visibility_off Unified Training of Universal Time Series Forecasting Transformers Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo 2024-02-04 ArXiv, International Conference on Machine Learning 103 25 open_in_new
visibility_off Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, X. Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen 2023-10-03 ArXiv, International Conference on Learning Representations 259 9 open_in_new
visibility_off Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, M. Zitnik 2022-06-17 Neural Information Processing Systems, ArXiv 243 48 open_in_new
visibility_off Domain Adaptation for Time Series Under Feature and Label Shifts Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, M. Zitnik 2023-02-06 ArXiv, DBLP 47 48 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None DBLP 7 50 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 arXiv.org, ArXiv 5 50 open_in_new
visibility_off UniTS: A Unified Multi-Task Time Series Model Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, M. Zitnik 2024-02-29 ArXiv, DBLP 8 48 open_in_new
Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations

Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index
visibility_off T-Graphormer: Using Transformers for Spatiotemporal Forecasting Hao Yuan Bai, Xue Liu 2025-01-22 ArXiv 0 0
visibility_off TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data Ege Onur Taga, M. E. Ildiz, Samet Oymak 2025-02-22 ArXiv 1 35
visibility_off Relational Conformal Prediction for Correlated Time Series Andrea Cini, Alexander Jenkins, D. Mandic, C. Alippi, Filippo Maria Bianchi 2025-02-13 ArXiv 0 50
visibility_off Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data A. Neog, Arka Daw, Sepideh Fatemi Khorasgani, A. Karpatne 2025-02-18 ArXiv 0 29
visibility_off Using Pre-trained LLMs for Multivariate Time Series Forecasting Malcolm Wolff, Shenghao Yang, Kari Torkkola, Michael W. Mahoney 2025-01-10 ArXiv 0 2
visibility_off LAST SToP For Modeling Asynchronous Time Series Shubham Gupta, Thibaut Durand, Graham Taylor, Lilian W. Bialokozowicz 2025-02-04 ArXiv 0 0
visibility_off Vision-Enhanced Time Series Forecasting via Latent Diffusion Models Weilin Ruan, Siru Zhong, Haomin Wen, Yuxuan Liang 2025-02-16 ArXiv 0 6
visibility_off Positional Encoding in Transformer-Based Time Series Models: A Survey Habib Irani, V. Metsis 2025-02-17 ArXiv 0 18
visibility_off SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting Wenxuan Xie, Fanpu Cao 2025-01-27 ArXiv 0 0
visibility_off TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting Young-Chae Hong, Bei Xiao, Yangho Chen 2025-02-25 ArXiv 0 0
visibility_off IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting Christian Klotergens, Tim Dernedde, Lars Schmidt-Thieme 2025-02-17 ArXiv 0 2
visibility_off TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Yongzhi Qi, Hao Hu, Dazhou Lei, Jianshen Zhang, Zhengxin Shi, Yulin Huang, Zhengyu Chen, Xiaoming Lin, Zuo-Jun Max Shen 2025-01-27 ArXiv 0 2
visibility_off Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification Vasilii Feofanov, Songkang Wen, Marius Alonso, Romain Ilbert, Hongbo Guo, Malik Tiomoko, Lujia Pan, Jianfeng Zhang, I. Redko 2025-02-21 ArXiv 0 13
visibility_off Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation Wen-Xia Wang, Kai Wu, Yujian Betterest Li, Dan Wang, Xiaoyu Zhang, Jing Liu 2025-02-21 ArXiv 0 2
visibility_off TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen 2025-02-17 ArXiv 0 21
visibility_off TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model Janghoon Yang 2025-02-08 ArXiv 0 0
visibility_off ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting Guoqi Yu, Yaoming Li, Juncheng Wang, Xiaoyu Guo, Angelica I. Avilés-Rivero, Tong Yang, Shujun Wang 2025-02-24 ArXiv 0 17
visibility_off AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models Yuhao Zheng, Chenghua Gong, Rui Sun, Juyuan Zhang, Liming Pan, Linyuan Lv 2025-02-25 ArXiv 0 0
visibility_off Efficient Traffic Prediction Through Spatio-Temporal Distillation Qianru Zhang, Xin Gao, Haixin Wang, S. Yiu, Hongzhi Yin 2025-01-15 ArXiv 1 5
visibility_off Harnessing Vision Models for Time Series Analysis: A Survey Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen 2025-02-13 ArXiv 0 22
visibility_off Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Quoc Viet Nguyen, Joaquín Delgado Fernández, Sergio Potenciano Menci 2025-02-14 ArXiv 0 5
visibility_off Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting? Ibram Abdelmalak, Kiran Madhusudhanan, Jungmin Choi, Maximilian Stubbemann, Lars Schmidt-Thieme 2025-02-13 ArXiv 0 3
visibility_off SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model Xinghao Wang, Feng Liu, Rui Su, Zhihui Wang, Lei Bai, Wanli Ouyang 2025-02-27 ArXiv 0 10
visibility_off TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin 2025-02-20 ArXiv 0 3
visibility_off VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting Junhyeok Kang, Yooju Shin, Jae-Gil Lee 2025-01-24 ArXiv 0 8
visibility_off Can Multimodal LLMs Perform Time Series Anomaly Detection? Xiongxiao Xu, Haoran Wang, Yueqing Liang, , Yue Zhao, Kai Shu 2025-02-25 ArXiv 0 7
visibility_off Sliding Window Attention Training for Efficient Large Language Models Zichuan Fu, Wentao Song, Yejing Wang, Xian Wu, Yefeng Zheng, Yingying Zhang, Derong Xu, Xuetao Wei, Tong Xu, Xiangyu Zhao 2025-02-26 ArXiv 0 7
visibility_off An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks Basma Alsehaimi, Ohoud Alzamzami, Nahed Alowidi, Manar Ali 2025-01-01 Sensors (Basel, Switzerland) 0 7
visibility_off Beyond Information Distortion: Imaging Variable-Length Time Series Data for Classification Hyeonsu Lee, Dongmin Shin 2025-01-21 Sensors (Basel, Switzerland) 0 0
visibility_off Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xingbo He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang 2025-01-26 ArXiv 0 4
visibility_off Position: Empowering Time Series Reasoning with Multimodal LLMs Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, Qingsong Wen 2025-02-03 ArXiv 0 7
visibility_off TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Songtao Huang, Zhen Zhao, Can Li, Lei Bai 2025-02-10 ArXiv 0 0
visibility_off UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data Shiyang Zhou, Qingyong Zhang, Peng Xiao, Bingrong Xu, Geshuai Luo 2025-02-04 Scientific Reports 0 2
visibility_off Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation Eyal Yakir, Dor Tsur, H. Permuter 2025-02-27 ArXiv 0 12
visibility_off A multiscale model for multivariate time series forecasting V. Naghashi, Mounir Boukadoum, Abdoulaye Baniré Diallo 2025-01-10 Scientific Reports 0 13
visibility_off An enhanced Transformer framework with incremental learning for online stock price prediction Yiming Qian 2025-01-13 PLOS ONE 0 0
visibility_off Escaping The Big Data Paradigm in Self-Supervised Representation Learning Carlos V'elez Garc'ia, Miguel Cazorla, Jorge Pomares 2025-02-25 ArXiv 0 0
visibility_off CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios Michael Fuest, Alfredo Cuesta-Infante, K. Veeramachaneni 2025-01-24 ArXiv 0 35
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index