Time-series forecasting

This page was last updated on 2026-11-02 06:25:34 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, Geoffrey I. Webb, Irwin King, Shirui Pan 2023-07-07 IEEE Transactions on Pattern Analysis and Machine Intelligence 615 57 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 205 63 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 63 57 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 42 57 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 944 21 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 204 12 open_in_new
visibility_off A decoder-only foundation model for time-series forecasting Abhimanyu Das, Wei-Hao Kong, Rajat Sen, Yi-Chen Zhou 2023-10-14 ArXiv, DBLP 1067 17 open_in_new
visibility_off Unified Training of Universal Time Series Forecasting Transformers Gerald Woo, Chenghao Liu, Akshat Kumar, Cai-Ming Xiong, S. Savarese, Doyen Sahoo 2024-02-04 ArXiv, DBLP 878 38 open_in_new
visibility_off Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lin-Tao Ma, Zhixuan Chu, James Y. Zhang, X. Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shi-Rui Pan, Qing-Song Wen 2023-10-03 ArXiv, International Conference on Learning Representations 1310 18 open_in_new
visibility_off Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang, Zi-Yuan Zhao, Theodoros Tsiligkaridis, M. Zitnik 2022-06-17 ArXiv, Neural Information Processing Systems 573 63 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 156 63 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 57 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 171 63 open_in_new
visibility_off Graph State-Space Models and Latent Relational Inference Daniele Zambon, Andrea Cini, C. Alippi 2023-01-04 ArXiv 8 57 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 A Hybrid Attention Model Learning Unified Time-aware Patch Representation for Irregular Multivariate Time Series Forecasting Li Lin, Zhi-Hao Lin, Qi Zhang, Kai-Wen Xia, Shuai Wang, Jia-Lin Qiao 2026-09-19 ArXiv 0 6
visibility_off Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting Tamanna S. Kumavat, Georg Brunner, Kyriakos Flouris 2026-09-14 ArXiv 0 7
visibility_off AdaCast: Conditional Parameter Generation for Adaptive Time Series Forecasting Darahaas Nallagatla, Darryl C. Jacob, Pan He 2026-10-08 ArXiv 0 3
visibility_off Learning from Points and Patches: A Pre-trained Hybrid Attention Transformer for Time Series Analysis Pei-Wang Tang, He Cheng, Yu-Peng Ye, Wei-Tai Zhang, Qing-Hua Sun, De-Fu Lian 2026-10-27 ArXiv 0 56
visibility_off Multi-Level Text Alignment for Interpretable and Uncertainty-Aware Time Series Forecasting with LLMs Tai-Biao Zhao, Ming-Xuan Sun, Xiao-Bing Chen 2026-10-16 ACM Transactions on Knowledge Discovery from Data 0 5
visibility_off Instance-Adaptive Prompts as Context for Time-Series Foundation Models Ze-Hao Xiao, Shi-Feng Xie, Lei Zan, Jian-Feng Zhang, Lu-Jia Pan, I. Redko, Malik Tiomoko, Ke-Li Zhang 2026-09-28 ArXiv 0 18
visibility_off STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting Jia-Wen Chen, Qi Shao, Yong-Jian Chang, Ming-Feng Zhou, Du-Xin Chen, Wen-Wu Yu 2026-09-14 ArXiv 0 20
visibility_off MUSE: Dependency-Aware Adaptation of a Frozen Vision Backbone for Multivariate Time Series Forecasting Xin-Ying Cai, Jun-Kai Lu, Yu-Han Zhu, Xiao-Yun Yu, Xiangfei Qiu, Ji-Lin Hu 2026-09-21 ArXiv 0 29
visibility_off UMambaNet: a multi-scale mamba architecture for efficient multivariate time series forecasting Xiao-He Wu, Kun Zhang, Hui Chen, Chen-Xi Cai, Dian-Ying Chen 2026-09-22 The Journal of Supercomputing 0 7
visibility_off FinTime-Fuse: a multimodal LLM for aligning news and financial time-series in enhanced forecasting Shang-Yang Mou, Qiang Xue, Jin-Hui Chen, T. Takiguchi, Tsutomu Harada, Takashi Kamihigashi, Y. Ariki 2026-10-30 Journal of Computational Social Science 0 30
visibility_off CVTA: Cross-Variable Temporal Attention for Multivariate Irregular Time Series Prediction A. Joshi, M. Hauskrecht 2026-10-18 ArXiv 0 1
visibility_off TAC-Time: Texts as Channels For Multimodal Time Series Forecasting Jiang-Yi Liang, Xiaotian Gu, Xin-Yue Xie, Yuanbin Wu, Xiao-Ling Wang 2026-09-21 ArXiv 0 4
visibility_off A Multi-Resolution Multi-Domain Pre-Training Framework for Universal Traffic Forecasting Zhou-Yang Liu, Jin-Dong Han, Hao Wang, Xin-Yue Liu, Hui Gao, Dong-Sheng Li, Hao Liu 2026-09-12 ArXiv 0 19
visibility_off SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting Abraham Ezema, C. Eze, F. Ponci, A. Monti 2026-09-17 ArXiv 0 56
visibility_off Multi-Term Fourier Graph Neural Network with Sample Relationship Learning for Enhanced Remaining Useful Life Prediction Ya Song, Laurens Bliek, Yao-Xin Wu, Ying-Qian Zhang 2026-09-21 ArXiv 0 14
visibility_off Multi-Granular Embedding and Hybrid Encoder–Decoder Architecture with Temporal Linear Regression Bypass for Sensor-Based Time Series Forecasting in Smart Infrastructure Hsu-Yung Cheng, Huan-Hsuan Lin, Chi-Lun Jiang, Chih-Chang Yu 2026-09-01 Sensors (Basel, Switzerland) 0 20
visibility_off STeP-TS: Shared Temporal Filters with Pruning for Time Series Hanne Raum, Jasper Hoffmann, J. Boedecker 2026-10-26 ArXiv 0 30
visibility_off QiYao-I: A Manifold Based Foundation Model for Irregular Multivariate Time Series Forecasting Lin-Feng Wang, Rui-Tong Zhang, Kai Zhao, Yang Shu, Zhong-Wen Rao, Meng Wang, Yi-Jie Li, Bin Yang, Chen-Juan Guo 2026-10-03 ArXiv 0 47
visibility_off Revisiting CNN-based multi-resolution modeling for long-term time series forecasting Ze-Fei Ning, Hao-Dong Zhao, H. Miao, Ni Zhang, Jia-Qi Wu, Li Wang 2026-10-13 Cluster Computing 0 7
visibility_off Tabby: An Open Pretraining Recipe for Time Series Foundation Models Shi-Feng Xie, Bahaeddine Abdessalem, Ze-Hao Xiao, Youssef Attia El Hili, Ambroise Odonnat, Zhi-Wei Dong, Lei Zan, Themis Palpanas, Jian-Feng Zhang, Lu-Jia Pan, Ke-Li Zhang, Malik Tiomoko 2026-09-12 ArXiv 1 58
visibility_off Deep learning forecasting model and visual explanation for large-scale time-series data Ya-Zhi Tao 2026-09-29 Discover Computing 0 0
visibility_off Lotus: Learning to Understand Time-series by Learning to Forecast Van Dai Do, H. Nguyen, M. Nguyen, Manh Nguyen, Hung Le 2026-10-01 ArXiv 0 3
visibility_off Neuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting Xiao-Han Jiang, Jing-Yuan Wang, Jia-Hao Ji, Yong-Yao Wang, Chen Yang, Jun-Jie Wu 2026-09-24 IEEE Transactions on Knowledge and Data Engineering 0 9
visibility_off Aurora-X: Built for Extreme Time Series Forecasting Xingjian Wu, Chen-Juan Guo, Xiangfei Qiu, Zhi-Gang Hu, Han-Yin Cheng, Peng Chen, Yang Shu, Ji-Lin Hu, Bin Yang 2026-09-25 ArXiv 0 47
visibility_off Timestral Adrien Petralia, A. Gavaudan, Artjom Joosen, Étienne Goffinet, Richard Kurle, Y. El Ouahidi, Yassir Bendou, Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra, Adrian Valente, Adrien Sadé, Ahmed Djermani, Alan Jeffares, Albert Q. Jiang, Alberto Bietti, Aleksandr Timashov, Alexandre Cahill, A. Laval, Alexandre Sablayrolles, Alexandros Sanchez Vassopoulos, A. Héliou, Amos You, André Jonasson, Andreas Furst, Andrew Bai, Andrew Ehrenberg, Andrew Zhao, Andy Lo, Angele Lenglemetz, Anmol Agarwal, Antonia Calvi, Arata Suzuki, Arjun Majumdar, A. Fournier, Ashwani Kumar, Augustin Lombard, Avinash Sooriyarachchi, A. Akkus, A. Karaduman, Baptiste Bout, Baptiste Rozière, Barna Pásztor, Baudouin De Monicault, Benjamin J. Holzschuh, Benjamin Tibi, Benno Stein, Bernhard Stadlbauer, B. Bhaskar, Bin-Bing Hou, B. Osinski, Boris van Breugel, Camille Le Scao, Chao-Ran Yu, Charlotte Cronjager, Chenkai Sun, Chris Bamford, Christian Wallenwein, Christophe Renaudin, Clémence Lanfranchi, Colin Bonatti, Corentin Barreau, Corentin Sautier, Cristiana-Diana Diaconu, Cyprien Courtot, Daniel Lopes, Daniel Marczak, Darius Dabert, D. de Las Casas, Dominik Nuss, Dylan Rubini, Dzmitry Soupel, E. Demyanenko, Elliot Chane-Sane, Emilie Fugier, E. Gottlob, E. Aas, Étienne Duchesne, Fabian Paischer, F. Schlager, Faruk Ahmed, Federico Baldassarre, Félix Rosseeuw, Filip Szatkowski, Filippo Vicentini, Florian Wiesner, Gabrielle Berrada, Gaetan Ecrepont, Gaspard Blanchet, Gaspard Donada-Vidal, Gaurav Mahajan, Gauthier Guinet, G. Hayes, Georgii Sergeevich Novikov, Georgios Christoglou, Giada Pistilli, Gonzague de Carpentier, Graeme Nail, G. Breton, Guillaume Kunsch, Guillaume Lample, Guillaume Martin, Guillaume Raille, Guillaume Richard, Guillem Simeon, Gunjan Dhanuka, Gunshi Gupta, Hamza Senhaji Rhazi, Han Zhou, Hédi Hadiji, Himanshu Jaju, Hope McGovern, Hubert de Parseval, Hugo Cisneros, Hugo Germain, Hugo Thimonier, Hugo Venturini, Hyeonju Lee, Hyunwoo Oh, Iliass Lasri, Ilyas Oulkadda, Jacques Sun, Jan Ludziejewski, Jason Rute, J. de Becdelièvre, Jean Quentin, Jean-Malo Delignon, Jessica Chudnovsky, Jian-Chao Li, Jie-Wen Zhang, Jin-Bin Ou, Joachim Studnia, Joep Barmentlo, J. Brandstetter, John Harvill, Jonas Amar, Jonas Schweizer, Jonathan Roberts, Joséphine Delas, Josselin Somerville, Jules Depersin, Julien Denize, Julien Tauran, Julien Verlaguet, Kartik Khandelwal, Khyathi Raghavi Chandu, Kilian Tep, Konstantin Mishchenko, K. Szczepaniak, Kush Jain, Larissa Laich, Laura Calem, Laurence Aitchison, L. Callot, Laurent Fainsin, Léo Cotteleer, Léonard Blier, Loïc Chadoutaud, Loïck Chambon, Lorenzo Proietti, Louis Faucon, L. Martin, Louis Serrano, Lu Li, Luc Boudier, Lucas Fernandes Martins, Lucas Mebille, Lucile Saulnier, Ludovic Ho Fuh, Luis Montero, Lukasz Borchmann, M. Buyl, Malik Hassan Raza, Manon Chossegros, Marcin Możejko, Margaret Jennings, Markus Hennerbichler, M. Alexandre, Mathieu Poir'ee, Mathieu Schmitt, Mathilde Guillaumin, Mathis Felardos, M. André, Matthieu Dinot, Matthieu Futeral, Maurits J. R. Bleeker, Mauro Comi, M. Mynter, Maxim Berman, Maxime Darrin, Maxime Langelier, Maxime Louis, Maximilian Augustin, Maximilian Müller, Mehdi Bouaziz, Melina Jingting Laimon, Mert Unsal, Mia Chiquier, M. Pilcer, Michal Pietruszka, Michał Zając, M. Seznec, Mikhail Biriuchinskii, Minh-Quang Pham, Minchul Kang, Mircea Lica, Morgane Rivière, Namit Katariya, Natasha Ørregaard Klingenbrunn, Nathan Bout, Nathan Grinsztajn, Nathan Simpson, Neeraj Aggarwal, Neil Ashton, Neil Mallinar, Nick Bührer, Nicolas Moreau, Nicolò Lucchesi, Ola Mysiak, Oliver Leicht, O. Bousquet, Olivier Koch, Parag Jain, Patricia Wang, P. Blies, Patrick von Platen, Patryk Saffer, Paul Jacob, Paul Teiletche, P. Wambergue, Paula Kurylowicz, P. K. Reddy, P. Kuksa, Philippe Formont, Philippe Pinel, Philomène Chagniot, P. Glandon, Pierre Stock, Pierre-André Savalle, Piotr Milos, Poojan Shah, Prateek Gupta, Pravesh Agrawal, Pui-Ki Chan, Quentin Desreumaux, Quentin Selle, Quentin Torroba, Quentin Wargnier, Quercus Hernandez, Ram Ramrakhya, R. Isenhour, Ranjit Parva, Raphaël Balouka, Raphaël Rialland, Raúl P. Peláez, Reinhard Sonnleitner, Rémi Delacourt, Rishi Shah, Rob Romijnders, Rohan Shah, Rohin Arora, Romain Sauvestre, Roman Soletskyi, Ronan Riochet, R. Millner, R. Menneer, S. Vaze, Samuel Barry, Samuel Belkadi, Samuel Humeau, Samuele Papa, Sanchit Gandhi, S. Cranganore, Sandeep Subramanian, Sarthak Mittal, Saskia Adaime, Scott Matthews, S. Cha, Sebastian Kaltenbach, Seungjae Jung, Shashwat Verma, S. Waly, Shrimai Prabhumoye, Siddhant Waghjale, Siddharth Gandhi, Simon Lepage, Simon Sorg, Soham Ghosh, Sophie Marbach, Srijan Mishra, Stanislas Lange, Steve Hong, Sumukh K. Aithal, Szymon Antoniak, T. K. Vangani, Teddy Turquet, Teven Le Scao, Théo Cachet, Thibaut Lavril, Thomas Chabal, Thomas Coste, Thomas Defard, Thomas Foubert, Thomas Loux, Thomas Robert, Thomas Wang, Tian-Yu Zhang, Tim Lawson, Timothée Lacroix, Timothy Wallis, T. Kronlachner, Tom Bewley, Tom Edwards, Tomas Hodan, Triantafyllos Afouras, Tuhin Das, Tyler Wang, Udit Saxena, Ulrick Ble, Umar Jamil, Umberto M. Tomasini, Valentin Macé, V. Phụng, V. Reddy, Vibha Masti, Victor Jouault, Victor Letzelter, Victor Paltz, Victor Poucheret, V. Maladière, Vincent Pfister, Virgile Richard, Vladislav V. Bataev, Wassim Bouaziz, Wen-Ding Li, William Flanagan, William Havard, William Marshall, Witold Jedrzejewski, Xinghui Li, Xing-Ran Guo, Xin-Yu Yang, Xuan-Yu Zhang, Yann Dréze, Yann Viegas, Yannic Neuhaus, Yassine Turki, Yessin Moakher, Yi He, Yi-Han Wang, Yi-Mu Pan, Yue-Ying Zhu, Yves Martin Des Taillades, Zaccharie Ramzi, Zhen-Lin Xu, Zsófia Csákány 2026-10-27 ArXiv 0 56
visibility_off WxFM-XL: Adapting Univariate Foundation Models to Multi-Station Weather Forecasting Xiao Wang, Chang-Jian Chen, Zhuo Tang, Rong Li, Hong-Wu Liu, Ken-Li Li 2026-10-07 ArXiv 0 6
visibility_off Self-Supervised Latent Action-Conditioned World Modeling for Time Series Chia-Han Kuo, Chengshuai Zhao, Huan Liu, Lo Pang-Yun Ting 2026-10-27 ArXiv 0 10
visibility_off Large Language Model Guided Series Saliency Module for Accurate and Interpretable Multivariate Time Series Forecasting Qing-Yi Pan, Li-Yuan Wang, Xiao-Yu Chen, Ning Chen 2026-10-01 Machine Learning 0 5
visibility_off SteerCast: Retrieval-Based Latent Steering for Decoder-Only Time Series Forecasting Van Dai Do, H. Nguyen, M. Nguyen, Hung Le 2026-10-08 ArXiv 0 3
visibility_off Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs D. Ji, Minkyoung Kim, Dongkuk Kim, Yo-Han Lee, Beomsoo Kim, Beakcheol Jang 2026-09-19 ArXiv 0 3
visibility_off HypLTSF: A Hyperbolic Geometric View of Multi-Scale Hierarchies for Long-Term Time Series Forecasting Namwoo Kim, Hyungryul Baik, Yoonjin Yoon 2026-09-08 ArXiv 0 11
visibility_off FracTS: Hierarchical and Autoregressive Time Series Generation Jia-Yu Li, Umair Afzal, Zi-Long Zhao, Milad Abdollahzadeh, U. Javaid, Biplab Sikdar 2026-10-18 ArXiv 0 19
visibility_off TStruct: Learning Shared Temporal Structures for Long-Term Time-Series Forecasting Yang-Ze Li, Zhen-Qiang Zhou, Qi-He Huang, Peng-Kun Wang, Bin-Wu Wang, Yang Wang 2026-10-13 ArXiv 0 19
visibility_off Channel-Dependent State Space Model for Multivariate Time Series Forecasting Yu-Cheng Wu, Fan-Keng Sun, Li-Chun Lu, D. Boning 2026-09-29 ArXiv 0 42
visibility_off DST-Net: Decomposed Spatio-Temporal Network for Time Series Forecasting Yao-Hua Zha, Hai-Xiang Wu, Shu-Tao Xia 2026-10-15 ArXiv 0 16
visibility_off TimeWorld: Towards Action-Conditioned Multimodal World Models for Time Series Forecasting Hang Ni, Wei-Jiao Zhang, Hao Liu 2026-10-26 ArXiv 0 14
visibility_off DBCM: Dual-Branch Calibration Module for Test-Time Adaptation in Time Series Forecasting Jae-Hoon Jeon, Kunwoo Kang, Sang Yup Lee, Kibok Lee 2026-10-23 ArXiv 0 5
visibility_off Grounding Time-Series Foundation Models in Digital Twin Topology for Predictive Maintenance Si-Zhe Ma, Katherine A. Flanigan, Mario Bergés 2026-09-30 ArXiv 1 9
visibility_off Transformer Architectures for Multivariate Time Series Forecasting De-Liang Zhang, Bo He, Yu Gao 2026-09-29 Journal of Computing and Electronic Information Management 0 3
visibility_off ORBIT: Autoregressive Time Series Generation via Next Frequency-Band Prediction Chun-Yi Hou, Xiangfei Qiu, Han-Yin Cheng, Chen-Chen Sun, Yi-Sheng An, Yang Shu, Ji-Lin Hu, Bin Yang 2026-10-19 ArXiv 0 29
visibility_off KiT: A Foundation Model for Financial Time-Series Forecasting using DiffusionTransformers Bo-Yuan Zhang, Hao-Ru Li 2026-09-28 ArXiv 0 0
visibility_off Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States Shu-Hao Li, Wei-Dong Yang, Chang'an Liu, Wei Zhuo, Ying-Bo Zhou, Fan Zhang, Si-Qiang Luo 2026-09-24 ArXiv 0 16
visibility_off SeTFiN: Self-Data Generation and Temporal-Frequency Fusion for Multivariate Sensor Time-Series Forecasting Min-Seon Chae, Tae-Hyoung Park 2026-09-23 Sensors (Basel, Switzerland) 0 5
visibility_off Pythia: Toward Foundation World Models for Multimodal Time Series Xilin Dai, Hong-Zhou Chen, Yi-Fan Hu, Yi-Ding Liu, Ze-Wei Dong, Jiang-Nan Yang 2026-10-04 ArXiv 2 9
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index