Time-series forecasting

This page was last updated on 2026-06-08 07:59:14 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 458 56 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 179 60 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 57 56 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 34 56 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 736 19 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 175 7 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 DBLP, ArXiv 681 16 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 DBLP, ArXiv 577 36 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 978 15 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 488 60 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 124 60 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None Neural Information Processing Systems, Advances in Neural Information Processing Systems 35 9 56 open_in_new
visibility_off Graph State-Space Models and Latent Relational Inference Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 ArXiv 8 56 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 Neural Information Processing Systems, Advances in Neural Information Processing Systems 37 112 60 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 QuITE: Query-Based Irregular Time Series Embedding J. Lim 2026-05-27 ArXiv 0 0
visibility_off LLM-Augmented Stiefel Graph Neural Networks for Zero-Shot Spatio-Temporal Forecasting Jiankai Zheng, Liang Xie, Lei Zhu, Guoli Yang 2026-07-01 IEEE Transactions on Knowledge and Data Engineering 0 3
visibility_off MixNet: A scale-adaptive method for multivariate time series forecasting Xinhan Wang, Bowen Zhao 2026-05-26 PLOS One 0 11
visibility_off TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning E. L. Naour, Tahar Nabil, Adrien Petralia 2026-06-04 ArXiv 0 4
visibility_off U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation Yichen Zhang, Jun Li 2026-05-12 ArXiv 0 3
visibility_off DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting Sadia Tabassum, Naushin Nower 2026-05-19 PLOS One 0 8
visibility_off TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting Fan Zhang, Shiming Fan, Hua Wang 2026-04-14 ArXiv 4 11
visibility_off TempusBench: An Evaluation Framework for Time-Series Forecasting Denizalp Goktas, G. Riaño-Briceño, A. Abdullah, Aryan Nair, Chenkai Shen, Beatriz de Lucio, Alexandra Magnusson, Farhan Mashrur, A. Abdulla, Shawrna Sen, Mahitha Thippireddy, G. Schwartz, Amy Greenwald 2026-04-13 ArXiv 2 7
visibility_off NPMixer: Hierarchical Neighboring Patch Mixing for Time Series Forecasting Jungmin Choi, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme 2026-05-08 ArXiv 0 7
visibility_off Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling Yiding Liu, Yifan Hu, Hongjie Xia, Peiyuan Liu, Hongzhou Chen, Xilin Dai, Zewei Dong, Jiangnan Yang 2026-05-26 ArXiv 0 10
visibility_off HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation Fengmin Zhang, Wenjie Du, Huan Zhang, Ke Yu, ShenRun Qu 2026-05-04 ArXiv 0 4
visibility_off XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis Israel Zexer, Omri Azencot 2026-05-18 ArXiv 1 2
visibility_off PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows Minju Kim, Youngbum Hur 2026-05-22 ArXiv 0 6
visibility_off Reviving Error Correction in Modern Deep Time-Series Forecasting Minh Hoang Nguyen, Dai Do, H. Nguyen, Dung Nguyen, Kien Do, Hung Le 2026-05-20 ArXiv 0 13
visibility_off Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications Muhy Eddin Za’ter, B. Hodge 2026-04-23 ArXiv 0 65
visibility_off WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting Shunyu Wu, Jiawei Huang, Weibing Feng, Boxing Li, Xiao Zhang, Erli Meng, Dan Li, Jian Lou, See-Kiong Ng 2026-04-12 ArXiv 0 7
visibility_off KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture Luis Balderas, J. Rodr'iguez, Miguel Lastra, A. Arauzo-Azofra, J. M. Benítez 2026-05-18 ArXiv 0 13
visibility_off TiWeaver: Unified Temporal Dynamics Modeling via Contextual Patching Zhe Li, Jindong Tian, Hao Miao, Zhide Lei, Chenjuan Guo, Bin Yang 2026-06-02 ArXiv 0 43
visibility_off Mamba-Shape: A Shape-Aware Foundation Model for Time Series Classification Sijie Liu, Jianbin Sun, Ruijing Cui, Bingyu He 2026-04-17 2026 11th International Conference on Intelligent Computing and Signal Processing (ICSP) 0 3
visibility_off ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection Uzair Khan, Luigi Capogrosso, Francesco Biondani, Michele Magno, Franco Fummi, Francesco Setti, Marco Cristani 2026-05-31 ArXiv 0 9
visibility_off ITS-Mina: A Harris Hawks Optimization-Based All-MLP Framework with Iterative Refinement and External Attention for Multivariate Time Series Forecasting Pourya Zamanvaziri, Amirhossein Sadr, Aida Pakniyat, D. Rahmati 2026-04-30 ArXiv 0 5
visibility_off Reasoning-Aware Training for Time Series Forecasting Md. Atik Ahamed, Mihir Parmar, Palash Goyal, Chun-Liang Li, Qiang Cheng, Tomas Pfister, Jinsung Yoon 2026-05-09 ArXiv 0 14
visibility_off PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting Ying Zhou, Yutong Ye, Zhiwei Ling, Shuhao Li, Rui Qian, Jian Xiong, Li Sun, Dejing Dou 2026-05-01 ArXiv 0 10
visibility_off Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting Yifan Wu, Junjie Wu, Kai Wu, Xiaoyu Zhang, Jian Lou 2026-05-31 ArXiv 0 4
visibility_off AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting Xudong Jiang, Min Loo, Hanchen Yang, Wengen Li, Mingrui Zhang, Yichao Zhang, Jihong Guan, Shuigeng Zhou 2026-04-25 ArXiv 0 17
visibility_off Automated Model Selection for Multivariate Time Series Forecasting Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Qiankun Zhang, Wei Xiang, Shenghao Liu, Lingzhi Yi 2026-04-12 Proceedings of the ACM Web Conference 2026 0 17
visibility_off TriTS: Time Series Forecasting from a Multimodal Perspective Xiang Ao 2026-04-17 ArXiv 0 1
visibility_off KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning Kun Feng, Ziwei Shan, Yuchen Fang, Y. Tan, Sihan Lu, Shuqi Gu, Lintao Ma, Xingyu Lu, Kan Ren 2026-05-28 ArXiv 0 8
visibility_off AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting Rui Wang, Renhao Xue, Ray Razi, Huan Song, Hannah Marlowe 2026-05-24 ArXiv 0 8
visibility_off PrismNet: Viewing Time Series Through a Multi-Modal Prism for Interpretable Power Load Forecasting Yuxuan Chen, Shuo Dai, Ruoyi Xu, Haipeng Xie 2026-05-09 ArXiv 0 3
visibility_off Unicorn: Scaling High-Dimensional Time Series Forecasting via Universal Correlation Modeling Haochen Yuan, Yichen Song, Yunbo Wang, Xiaokang Yang 2026-05-26 ArXiv 0 11
visibility_off Why Do Time Series Models Need Long Context Windows? L. Butera, G. Felice, Andrea Cini, C. Alippi 2026-06-01 ArXiv 0 56
visibility_off A Simple State Space Model Excels at Multivariate Time Series Classification Hassan Saadatmand, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi 2026-05-07 ArXiv 0 5
visibility_off DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting N. Mysore 2026-04-27 ArXiv 1 8
visibility_off Assessing the Operational Viability of Foundation Models for Time Series Forecasting Kavin k. Soni, Debanshu Das, Vamshidhar Guduguntla 2026-05-23 ArXiv 0 3
visibility_off Foundation Models for Time Series Forecasting: Evidence from the Fuel Sector Jonas Krause, Alex C. D. Lopes, Lucas G. M. Castro, André G. R. Ribeiro, M. A. Mochinski, E. Paraiso, Fabrício Enembreck, J. P. Barddal, Alceu de Souza Britto Jr, V. M. A. Souza 2026-05-04 Journal of the Brazilian Computer Society 4 20
visibility_off Progressive Spatiotemporal Graph Modeling for Spacecraft Anomaly Detection Zihan Chen, Zewen Li, Yuge Cao, Yue Wang, Hsi Chang 2026-04-01 Entropy 0 4
visibility_off What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies Fangzhao Zhang, Shiming Fan, Hua Wang 2026-05-08 ArXiv 0 5
visibility_off Generalizing Multi-Scale Time-Series Modeling with a Single Operator Cheonwoo Lee, Dooho Lee, Doyun Choi, Jaemin Yoo 2026-05-29 ArXiv 0 1
visibility_off Temporal Patch Shuffle (TPS): Leveraging Patch-Level Shuffling to Boost Generalization and Robustness in Time Series Forecasting Jafar Bakhshaliyev, Johannes Burchert, Niels Landwehr, Lars Schmidt-Thieme 2026-04-10 ArXiv 0 5
visibility_off Superposition Is Not Necessary: A Mechanistic Interpretability Analysis of Transformer Representations for Time Series Forecasting A. Yildirim 2026-05-06 ArXiv 0 1
visibility_off TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical Tokenization Seokhyun Lee, Jaeho Kim, Chan-Su Oh, M. Schaar, Changhee Lee 2026-05-02 ArXiv 0 76
visibility_off Multimodal Fusion for Time Series Forecasting: Learning from Temporal and Visual Data J. Oliveira, Patrícia Ramos 2026-05-08 2026 IEEE Conference on Artificial Intelligence (CAI) 0 8
visibility_off ChronoVAE-HOPE: Beyond Attention -- A Next-Generation VAE Foundation Model for Specialized Time Series Classification J. Rodr'iguez, Luis Balderas, Miguel Lastra, A. Arauzo-Azofra, J. M. Benítez 2026-05-21 ArXiv 0 13
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index