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A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model

3 May 2024

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Papers citing "A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model"

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Title
Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs Wei Li Yunyao Cheng Xinli Hao Chaohong Ma Yuxuan Liang Bin Yang Christian S.Jensen Xiaofeng Meng AI4TS 21 0 0 13 Jun 2025
ss-Mamba: Semantic-Spline Selective State-Space Model Zuochen Ye Mamba 22 0 0 03 Jun 2025
Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models Jittarin Jetwiriyanon Teo Susnjak Surangika Ranathunga AI4TS 5 0 0 30 May 2025
Gradient Flow Matching for Learning Update Dynamics in Neural Network Training Xiao Shou Yanna Ding Jianxi Gao 17 0 0 26 May 2025
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges Feifei Shi Xueyan Yin Kang Wang Wanyu Tu Qifu Sun Huansheng Ning AI4TS 22 0 0 21 May 2025
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency Kelvin Kan Xingjian Li Benjamin J. Zhang Tuhin Sahai Stanley Osher Markos A. Katsoulakis 61 0 0 16 May 2025
Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model Xiannan Huang Shuhan Qiu AI4TS 99 0 0 13 May 2025
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning Jia Liu Cheng Jinguo Xia Fang Zhenyuan Ma Yuankai Wu CLL AI4TS LRM 139 0 0 20 Apr 2025
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence Zheng Tan Yiwen Nie Wenfa Wu Guanyu Zhang Yanze Liu ... Chao Yang Jiaxuan Fan Yuan He Hongsheng Qi Yangzhou Du AI4TS 87 0 0 27 Mar 2025
Data-Driven Optimization of EV Charging Station Placement Using Causal Discovery Julius Stephan Junker Rong Hu Ziyue Li W. Ketter 55 0 0 21 Mar 2025
Probabilistic Forecasting via Autoregressive Flow Matching Ahmed El-Gazzar Marcel van Gerven AI4TS 95 0 0 13 Mar 2025
Performance of Zero-Shot Time Series Foundation Models on Cloud Data William Toner Thomas L. Lee Artjom Joosen Rajkarn Singh Martin Asenov AI4TS 152 2 0 18 Feb 2025
Evaluating Time Series Foundation Models on Noisy Periodic Time Series Syamantak Datta Gupta AI4TS 81 0 0 01 Jan 2025
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation Silin Yang Dong Wang Haoqi Zheng Ruochun Jin RALM AI4TS 167 7 0 21 Dec 2024
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain Zhengnan Li Haoxuan Li Hao Wang Jun Fang Duoyin Li Yunxiao Qin AI4TS 488 0 0 02 Dec 2024
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series Mingzhu Liu Angela H. Chen George H. Chen AI4TS 112 1 0 19 Nov 2024
FlowTS: Time Series Generation via Rectified Flow Yang Hu Xinyu Wang Lirong Wu Huatian Zhang Stan Z. Li Sheng Wang Jen-tse Huang Jiheng Zhang Ziyun Li Tianlong Chen AI4TS 78 0 0 12 Nov 2024
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities Jingge Xiao Yile Chen Gao Cong Wolfgang Nejdl Simon Gottschalk AI4TS 72 0 0 30 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel Christopher Sandino Behrooz Mahasseni Ellen L. Zippi Erdrin Azemi Ali Moin Juri Minxha TTA AI4TS 117 3 0 03 Oct 2024
Repurposing Foundation Model for Generalizable Medical Time Series Classification Nan Huang Haishuai Wang Zihuai He Marinka Zitnik Xiang Zhang AI4TS OOD 101 3 0 03 Oct 2024
LSAST -- Enhancing Cybersecurity through LLM-supported Static Application Security Testing Mete Keltek Ziyue Li Mohammadreza Fani Sani Ziyue Li 64 0 0 24 Sep 2024
FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling Zhengnan Li Yunxiao Qin Xilong Cheng Yuting Tan AI4TS 98 3 0 24 May 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 127 17 0 08 Jan 2024
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape Fynn Oldenburg Qiwei Han Maximilian Kaiser 55 1 0 11 Feb 2023