This page was last updated on 2025-12-01 06:13:20 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 | 9 | 9 |
| 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 | 46 | 8 |
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| 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 | 2 | 12 |
| 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 | 8 | 2 |
| 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 | 9 | 16 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |