This page was last updated on 2025-06-23 11:22:41 UTC
Recommendations for the article Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| visibility_off | A Mamba Foundation Model for Time Series Forecasting | Haoyu Ma, Yushu Chen, Wenlai Zhao, Jinzhe Yang, Yingsheng Ji, Xinghua Xu, Xiaozhu Liu, Hao Jing, Shengzhuo Liu, Guangwen Yang | 2024-11-05 | ArXiv | 4 | 8 |
| visibility_off | VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters | Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu | 2024-08-30 | ArXiv | 30 | 4 |
| visibility_off | From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting | Xinyu Zhang, Shanshan Feng, Xutao Li | 2025-04-09 | ArXiv | 0 | 11 |
| visibility_off | TimeFound: A Foundation Model for Time Series Forecasting | Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Xinjiang Lu, Le Zhang, Hui Xiong | 2025-03-06 | ArXiv | 0 | 10 |
| visibility_off | TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data | Ege Onur Taga, M. E. Ildiz, Samet Oymak | 2025-02-22 | DBLP, ArXiv | 3 | 36 |
| visibility_off | Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting | Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shu-Tao Xia | 2024-06-04 | ArXiv | 3 | 8 |
| visibility_off | General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting | Cheng Feng, Long Huang, Denis Krompass | 2024-10-21 | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management | 3 | 1 |
| visibility_off | Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction | Cheng Feng, Long Huang, Denis Krompass | 2024-02-12 | ArXiv | 5 | 16 |
| visibility_off | Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Bilovs, Hena Ghonia, N. Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, I. Rish | 2023-10-12 | ArXiv | 50 | 41 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |