Time-series forecasting

This page was last updated on 2026-08-31 06:37:40 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 532 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 192 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 Neural Information Processing Systems, ArXiv 58 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. 37 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 Neural Information Processing Systems, ArXiv 840 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 194 10 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 842 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 714 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 1136 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 531 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 140 62 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 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 139 62 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
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 Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Morad Laglil, Bertrand Pracca, Emilie Devijver, Éric Gaussier 2026-07-25 ArXiv 1 14
visibility_off TS-RAG: Retrieval Augmented Generation for Time Series Forecasting Yixiong Xiao, Congxi Xiao, Jingbo Zhou 2026-08-06 ArXiv 1 5
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 SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting Hai-Zhao Fan, Xinh Le 2026-08-27 ArXiv 0 0
visibility_off Decompose-Disentangle-Decode Time Series Forecasting (D3TSF): dual-scale time series forecasting via seasonality of patch-wise state space and sparse trend learning Shengli Liu 2026-07-07 Journal of King Saud University Computer and Information Sciences 0 0
visibility_off RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting Sumit S. Shevtekar, Chandresh Kumar Maurya 2026-07-09 ArXiv 0 8
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 Attention and residual adaptation analysis of node-token GPT2 for traffic flow forecasting Ming-Zhu Gao, Ruo-Han Ning 2026-08-25 None 0 0
visibility_off Scale-Aware Pretraining of Time Series Foundation Models via Multi-Patch Token Alignment and Hybrid Masking Taihua Chen, Xiang Ma, Yixin Zhang, Tailin Zhan, Manyu Sun, Li-zhen Cui 2026-08-20 ArXiv 0 11
visibility_off ConTemPreT: Contextual temporal pre-trained transformer-based forecasting Yunus Emre Midilli, S. Parshutin 2026-08-01 Applied Intelligence 0 6
visibility_off CTDFormer: controllable trend decomposition with dual-seasonal attention for multivariate time series forecasting Weitao Sun, Yujuan Sun, Ting Wang, Hua Wang 2026-08-26 Intelligent Marine Technology and Systems 0 13
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 In-Context Inpainting for Time Series Forecasting T. Nguyen, D. Nguyen, Romero Morais, Truyen Tran 2026-08-24 ArXiv 0 7
visibility_off EvtGraph: Event-Adaptive Compression for Sparse Temporal Graph Learning in Multimodal Time Series Ziqian Wang, Tingxiong Xiao, Yuxiao Cheng, J. Suo 2026-08-05 ArXiv 0 8
visibility_off Align-TS: Structure-Guided Semantic Conditioning for Multivariate Time-Series Forecasting with Frozen Language Models Yi-Fang Wang, Shu Miao 2026-07-01 2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI) 0 0
visibility_off GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation Mingyang Wang, Rong Li, Xiao Wang, Changjian Chen 2026-08-03 ArXiv 0 0
visibility_off FEDA: Fast Exponential Decay Approach for Multivariate Time Series Forecasting Ming-Ting Zhong, Cheng-Yu Sie, Che-Rung Lee 2026-07-01 2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC) 0 2
visibility_off ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning Jun Fang, Shifeng Xie, Ruichu Cai, Shengji Zheng, Zijian Li, Keli Zhang, Lujia Pan, Themis Palpanas, Zhifeng Hao 2026-08-25 ArXiv 0 57
visibility_off ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series Saiyue Lyu, Zhitian Zhang, Ruizhi Deng, Thibaut Durand 2026-07-14 ArXiv 0 10
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 Transformer-Based Architectures for Machinery Prognostics: A Review Maxime Pierfederici, M. Jha, Chetan S. Kulkarni, D. Theilliol 2026-07-03 PHM Society European Conference 0 12
visibility_off MFSNet: lightweight multi-scale MLP-guided frequency suppression network for multivariate time series forecasting Yaling Xun, Jiaxin Dou, Haifeng Yang, Jianghui Cai, Xing Wang 2026-07-31 International Journal of Machine Learning and Cybernetics 0 16
visibility_off A transformer encoder architecture for node-level time series forecasting Ze Zhao, Mingyan Jiang, Feng Wang 2026-08-25 None 0 3
visibility_off MSPCIFormer: A Multi‐Scale Patching Channel‐Independent Transformer for Cryptocurrency Price Forecasting Huali Zhao, Martin Crane, Marija Bezbradica 2026-07-29 Expert Systems 0 17
visibility_off HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling Wenqiang Ma, Chen Cheng, Xue Cheng, Jiarui Ye 2026-07-18 ArXiv 0 3
visibility_off MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters Chengao Shen, Wenchao Yu, Fangyu Wu, Dongjin Song, Hanghang Tong, Dongsheng Luo, Wei Cheng, Haifeng Chen, Jingchao Ni 2026-08-24 ArXiv 0 27
visibility_off CLaST: Context-aware Contrastive VAE for Probabilistic Time Series Forecasting A. Marusov, D. Anikin, P. Sokerin, Vitaliy Pozdnyakov, Ilya Kuleshov, Alexey Zaytsev 2026-08-20 ArXiv 0 3
visibility_off Leveraging Time Series Foundation Models Embeddings for Remaining Useful Life Prediction Ilias Abdouni, Alexandre Voisin, Christophe Cerisara 2026-07-03 PHM Society European Conference 0 4
visibility_off FAST-GNN: a multivariate time series prediction method based on spatiotemporal adaptive graph neural network Shuming Zhang 2026-07-23 None 0 2
visibility_off Multi-Scale Convolution with Optimal Transport Attention Effect on Multivariate Time Series HaoChong Fu, Jian Xu 2026-07-12 ArXiv 0 0
visibility_off Into the ORBIT for Time Series: Training Regimes for Foundation Models Hongjie Xia, Yiding Liu, Yifan Hu, Peiyuan Liu, Zewei Dong 2026-08-13 ArXiv 0 10
visibility_off TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Fangxu Yu, Tao Feng, Dehai Min, Lu Cheng, Ge Liu, Tianyi Zhou 2026-07-09 ArXiv 2 18
visibility_off When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series Chen Shao, Yue Wang, Zhenyi Zhu, Zhanbo Huang, Tobias Käfer, Zonghan Wu, Danai Koutra 2026-08-07 ArXiv 0 40
visibility_off Model-agnostic Retrieval-Augmented Extended Forecasting for time series Juan Pablo Villa Serna, Rohan Asthana, Vasileios Belagiannis 2026-08-14 ArXiv 0 2
visibility_off Interval wavelets based multiscale normalizing flow for forecasting irregularly sampled time series (IWMNF) Elisa C. González, Chang Chiann, G. E. Salcedo 2026-08-06 International Journal of Data Science and Analytics 0 9
visibility_off ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation X. Truong, T. Lê, T. Kieu, Thi-Thu Nguyen, N. Nguyen 2026-07-08 ArXiv 0 14
visibility_off F4-SSM: Lightweight Multi-Scale State Space Model for On-Device Time Series Forecasting Jaehoon Lee, Sunghyun Sim 2026-07-01 2026 6th International Conference on Electrical, Computer and Energy Technologies (ICECET) 0 7
visibility_off REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Xu Zhang, Chang Xu, Hui Sun, Nan Ma, Zijian Zhang, Peng Wang, Wei Wang, Li Zhao 2026-08-10 ArXiv 0 5
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index