Time-series forecasting

This page was last updated on 2025-06-23 11:22:53 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 167 52 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 International Conference on Learning Representations, ArXiv 113 50 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 36 52 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 19 52 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 368 16 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, arXiv.org 94 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 International Conference on Machine Learning, ArXiv 241 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 International Conference on Machine Learning, ArXiv 202 26 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 International Conference on Learning Representations, ArXiv 414 10 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 288 50 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 DBLP, ArXiv 68 50 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None DBLP 7 52 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 ArXiv, arXiv.org 6 52 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 DBLP, ArXiv 25 50 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 DELPHYNE: A Pre-Trained Model for General and Financial Time Series Xueying Ding, Aakriti Mittal, Achintya Gopal 2025-05-12 ArXiv 0 1
visibility_off Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations Yu-Hsiang Lan, E. Oermann 2025-05-01 ArXiv 0 3
visibility_off Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines Xiaohou Shi, Ke Li, Aobo Liang, Y. Sun 2025-05-21 ArXiv 0 3
visibility_off Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Xue Wang, Tian Zhou, Jinyang Gao, Bolin Ding, Jingren Zhou 2025-05-20 ArXiv 0 8
visibility_off TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis Vijay Ekambaram, Subodh Kumar, Arindam Jati, Sumanta Mukherjee, Tomoya Sakai, Pankaj Dayama, Wesley M. Gifford, Jayant Kalagnanam 2025-05-19 ArXiv 0 4
visibility_off TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Bock, G. Klambauer, Sepp Hochreiter 2025-05-29 ArXiv 0 55
visibility_off Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao 2025-05-04 ArXiv 7 9
visibility_off Multi-Scale Finetuning for Encoder-based Time Series Foundation Models Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, P. Suganthan, Xudong Jiang, Savitha Ramasamy 2025-06-17 ArXiv 0 113
visibility_off Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting Wenjie Ou, Zhishuo Zhao, Dongyue Guo, Yi Lin 2025-05-16 ArXiv 0 11
visibility_off Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition Mayank Bumb, Anshul Vemulapalli, Sri Harsha Vardhan Prasad Jella, Anish Gupta, An La, Ryan A. Rossi, Hongjie Chen, Franck Dernoncourt, Nesreen K. Ahmed, Yu Wang 2025-06-15 ArXiv 0 10
visibility_off Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions Utsav Dutta, S. Pakazad, Henrik Ohlsson 2025-05-20 ArXiv 0 11
visibility_off Should We Reconsider RNNs for Time-Series Forecasting? V. Naghashi, Mounir Boukadoum, A. Diallo 2025-04-25 AI 0 13
visibility_off FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting Yash Vijay, Harini Subramanyan 2025-06-05 ArXiv 0 0
visibility_off IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue 2025-05-28 ArXiv 0 4
visibility_off TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. A. Prakash 2025-06-06 ArXiv 0 8
visibility_off HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma 2025-05-23 ArXiv 0 8
visibility_off Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting Yueyang Yao, Jiajun Li, Xingyuan Dai, Mengmeng Zhang, Xiaoyan Gong, Fei-Yue Wang, Yisheng Lv 2025-05-16 ArXiv 0 4
visibility_off STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting Yulong Wang, Xiaofeng Hu, Xiaojian Cui, Kai Wang 2025-05-07 ArXiv 0 0
visibility_off Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment Siming Sun, Kai Zhang, Xuejun Jiang, Wenchao Meng, Qinmin Yang 2025-05-19 ArXiv 0 21
visibility_off Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting Licheng Pan, Zhichao Chen, Haoxuan Li, Guangyi Liu, Zhijiang Xu, Zhaoran Liu, Hao Wang, Ying Wei 2025-05-23 ArXiv 0 7
visibility_off Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jianxin Liao 2025-05-01 ArXiv 0 28
visibility_off TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Robert Leppich, Michael Stenger, Daniel Grillmeyer, Vanessa Borst, Samuel Kounev 2025-04-26 ArXiv 0 9
visibility_off Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding Donghwa Shin, Edwin Zhang 2025-05-19 ArXiv 0 0
visibility_off Binary Cumulative Encoding meets Time Series Forecasting Andrei Chernov, Vitaliy Pozdnyakov, Ilya Makarov 2025-05-30 ArXiv 0 3
visibility_off CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Minhyuk Lee, Hyekyung Yoon, Myungjoo Kang 2025-05-04 ArXiv 0 2
visibility_off LETS Forecast: Learning Embedology for Time Series Forecasting Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi Gnvv, Nada Magdi Elkordi, Yin Li 2025-06-06 ArXiv 0 2
visibility_off Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo 2025-05-31 ArXiv 0 5
visibility_off Are Data Embeddings effective in time series forecasting? Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan 2025-05-27 ArXiv 0 9
visibility_off ss-Mamba: Semantic-Spline Selective State-Space Model Zuochen Ye 2025-06-03 ArXiv 0 0
visibility_off Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao 2025-05-05 ArXiv 2 9
visibility_off Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong 2025-05-24 ArXiv 0 7
visibility_off Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks Ali Forootani, Mohammad Khosravi 2025-05-26 ArXiv 0 6
visibility_off Leveraging Long-Term Multivariate History Representation for Time Series Forecasting Huiliang Zhang, Di Wu, Arnaud Zinflou, Stephane Dellacherie, M. Dione, Benoit Boulet 2025-05-20 IEEE Transactions on Artificial Intelligence 0 8
visibility_off SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models Suhan Guo, Jiahong Deng, Mengjun Yi, Furao Shen, Jian Zhao 2025-05-13 ArXiv 0 4
visibility_off AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan 2025-05-30 Frontiers in Artificial Intelligence 0 1
visibility_off Temporal Query Network for Efficient Multivariate Time Series Forecasting Shengsheng Lin, Haojun Chen, Haijie Wu, Chunyun Qiu, Weiwei Lin 2025-05-19 ArXiv 0 4
visibility_off Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Xinlong Zhao, Liying Zhang, Tianbo Zou, Yan Zhang 2025-05-01 ArXiv 0 0
visibility_off This Time is Different: An Observability Perspective on Time Series Foundation Models Ben Cohen, E. Khwaja, Youssef Doubli, Salahidine Lemaachi, Chris Lettieri, Charles Masson, Hugo Miccinilli, Elise Ram'e, Qiqi Ren, Afshin Rostamizadeh, Jean Ogier du Terrail, A. Toon, Kan Wang, Stephan Xie, David Asker, Ameet Talwalkar, Othmane Abou-Amal 2025-05-20 ArXiv 0 50
visibility_off CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables Pengfei Zhou, Yunlong Liu, Junli Liang, Qi Song, Xiangyang Li 2025-05-29 ArXiv 0 1
visibility_off A Review of the Long Horizon Forecasting Problem in Time Series Analysis Hans Krupakar, A. KandappanV 2025-06-15 ArXiv 0 3
visibility_off Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang 2025-05-16 ArXiv 0 30
visibility_off Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach T. Gonen, Itai Pemper, Ilan Naiman, Nimrod Berman, Omri Azencot 2025-05-26 ArXiv 0 19
visibility_off TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state Xiaowen Ma, Zhenliang Ni, Shuai Xiao, Xinghao Chen 2025-05-27 ArXiv 0 2
visibility_off Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts Wenfa Wu, Guanyu Zhang, Zheng Tan, Yi Wang, Hongsheng Qi 2025-05-02 ArXiv 2 1
visibility_off Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia, Dhaval Salwala, Alessandra Pascale, Juan Bernabe Moreno 2025-05-21 ArXiv 0 5
visibility_off Retrieval Augmented Time Series Forecasting Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan Ö. Arik, Jinsung Yoon 2025-05-07 ArXiv 0 35
visibility_off Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting Mert Onur Cakiroglu, Idil Bilge Altun, Hasan Kurban, Elham Buxton, Mehmet M. Dalkilic 2025-05-28 ArXiv 0 1
visibility_off Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting Chamara Madarasingha, N. Sohrabi, Zahir Tari 2025-06-03 ArXiv 0 15
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index