Time-series forecasting

This page was last updated on 2026-07-20 07:17:07 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 498 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 ArXiv, International Conference on Learning Representations 182 62 open_in_new
visibility_off Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi 2023-02-08 ArXiv, Neural Information Processing Systems 57 56 open_in_new
visibility_off Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini, Daniele Zambon, C. Alippi 2022-05-26 Journal of machine learning research, J. Mach. Learn. Res. 35 56 open_in_new
visibility_off Large Language Models Are Zero-Shot Time Series Forecasters N. Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson 2023-10-11 ArXiv, Neural Information Processing Systems 787 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 185 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 781 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 654 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 ArXiv, International Conference on Learning Representations 1069 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 ArXiv, Neural Information Processing Systems 507 62 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 134 62 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None Advances in Neural Information Processing Systems 35, Neural Information Processing Systems 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 Advances in Neural Information Processing Systems 37, Neural Information Processing Systems 126 62 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 A survey of deep time series forecasting backbone architectures: progress, pitfalls, and a systematic comparison Xiang Li, Yanping Zheng, Zhewei Wei 2026-07-08 Frontiers of Computer Science 0 6
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 LLM4Imp: Leveraging Frozen Large Language Models with Spectral Prompts for Time-Series Imputation Franck Junior Aboya Messou, Jinhua Chen, Tong Liu, Shilong Zhang, Weiyu Wang, Tao Yu, Keping Yu 2026-05-24 ICC 2026 - IEEE International Conference on Communications 0 5
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 1 10
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 Extreme Adaptive Transformer for Time Series Forecasting Sanjeev Shrestha, Hui Liu, Yifan Zhang 2026-07-02 ArXiv 0 4
visibility_off VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Yanlong Wang, Hang Yu, Jian Xu, Fei Ma, Hongkang Zhang, Tongtong Feng, Zijian Zhang, Shao-Lun Huang, Dan Sun, Xiao-Ping Zhang 2025-09-25 Trans. Mach. Learn. Res. 0 8
visibility_off DFG-PatchTST: a dynamic fusion gated patch transformer for multicomponent time series forecasting Yunsen Zhou, Yinxin Bao, Quan Shi 2026-07-01 Applied Intelligence 0 7
visibility_off TFAF: Temporal-Frequency Attention Fusion for Transformer Pretraining in Time Series Forecasting Weisen Cheng, Ming Xue, Binchuan Zhang, Lu Zhang, Pengfei Wang, Xiaofei Yang, Yudong Fang, Jing Li 2026-05-24 2026 IEEE International Symposium on Circuits and Systems (ISCAS) 0 7
visibility_off StateFlow: Dual-State Recurrent Modeling for Long-Horizon Time Series Forecasting Haroon Gharwi, Yue Dai, Kai Shu 2026-06-30 ArXiv 0 3
visibility_off Sample-efficient fine-tuning with textual prompts for time series forecasting Kaibin Wei, Jianqiang Jing, Jiawei Liu, Qing Liu, Xiannian Xie 2026-07-08 PLOS One 0 3
visibility_off ADyTNet: Learning Time‐Aware Dynamic Graphs and Tri‐Band Temporal Pattern for Multivariate Time Series Forecasting Weigang Huo, Yudong Bai, Yinan Wang 2026-06-01 Concurrency and Computation: Practice and Experience 0 3
visibility_off Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting Falguni Ghosh, Vahid Hashemi, Bernhard Kainz 2026-06-22 ArXiv 0 2
visibility_off Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting Alireza Jafari, Judy Fox, Geoffrey C. Fox, M. Marathe, A. Adiga 2026-06-17 ArXiv 0 58
visibility_off TimEE: End-to-end Time Series Classification via In-Context Learning Jaris Kuken, Shi Bin Hoo, M. Mráz, Frank Hutter, Lennart Purucker 2026-07-08 ArXiv 0 10
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 Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation Amir El-Ghoussani, Michele De Vita, Ronald Naumann, Valiseios Belagiannis 2026-06-10 ArXiv 1 3
visibility_off CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting Yosuke Yamaguchi, Issei Suemitsu, Yuki Kajihara, Wenpeng Wei 2026-06-09 ArXiv 0 5
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 Learning a Causation-Driven Retrieval Model for Effective Time Series Augmentation and Forecasting Bohan Zhang, Dixin Luo 2026-08-01 IEEE Transactions on Knowledge and Data Engineering 0 11
visibility_off PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, He Yan, Dongkai Wang, Jun Wang, Yukun Zhang, Ruoxi Jiang, Zenglin Xu 2026-06-25 ArXiv 0 7
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 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 STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting Sicong Lai, Yuehong Hu, Siru Zhong, Sichao Qiao, Yuxuan Liang, Guangyin Jin 2026-07-14 ArXiv 0 9
visibility_off Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models Xilin Dai, Yiding Liu, Hongjie Xia, Yifan Hu, Zewei Dong, Jiangnan Yang, Qiang Xu 2026-06-12 ArXiv 0 17
visibility_off Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting Defu Cao, Zijie Lei, Muyan Weng, Jiao Sun, Yan Liu 2026-06-25 ArXiv 2 14
visibility_off Why Do Time Series Models Need Long Context Windows? L. Butera, G. Felice, Andrea Cini, C. Alippi 2026-06-01 ArXiv 1 56
visibility_off EMD-based combined attention mechanism RNN for multivariate time series forecasting Wei-feng Ding, Chunxia Zhang, Huachuan Huang, Zizhao Guo, Lihong Long, Nannan Ji 2026-05-30 Applied Intelligence 0 10
visibility_off Hybrid diffusion-xLSTM framework for time-series prediction Sarinna Maplook, Koji Eguchi 2026-05-30 International Journal of Data Science and Analytics 0 1
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 DEMamba: Decoupled Enhanced State Space Models with Selective Mechanisms for Multivariate Time Series Forecasting Junluo Zheng, Yang Liu, Jianyong Chen 2026-05-25 Proc. of the 25th International Conference on Autonomous Agents and Multiagent Systems 1 3
visibility_off MambaAir: a multi-scale hybrid mamba-attention model for air quality prediction Chunyan Kan, Dong Zhao, Wei Song 2026-06-15 Pattern Analysis and Applications 0 6
visibility_off FGSNN: a FusionGraphSAGE with neural networks for traffic flow prediction Yanan Chen, Yongmei Ma, Shuchao Wang, Yunbiao Wu, Yong Zhou, Zhixin Chen, Weicai Peng 2026-07-01 The Journal of Supercomputing 0 0
visibility_off An Adaptive Routing-Based LSTM-Informer Fusion Model and Its Application in Time Series Forecasting Jiaqiang Chen, Yuze Li, Zhijie Li, Jian Zhang 2026-05-22 2026 5th Conference on Fully Actuated System Theory and Applications (FASTA) 0 7
visibility_off Spectral Retrieval-Augmented Time-Series Forecasting H. Nguyen, M. Nguyen, Dung Nguyen, Hung Le 2026-06-17 ArXiv 0 3
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 Pretrained Time-Series Foundation Models for Financial Return Forecasting M. N. I. Alonso, Rodolfo Pereira Franklin 2026-06-25 ArXiv 0 2
visibility_off GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting Baiying Lu, Zhaohui Liang, Ryan Pontius, Shengpu Tang, T. Prioleau 2026-06-05 ArXiv 0 14
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index