arXiv · cs.AI · Abdul Fatir Ansari, Oleksandr Shchur, Jaris K\"uken, Andreas Auer, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Pablo Guerron, Florian Saupe, Markus Reichstein, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, Hao Wang, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider · 11 小时前模型评分43
Chronos-2：面向多变量时间序列预测的基础模型
Chronos-2: A foundation model for multivariate time series forecasting
导读
Chronos-2 是可直接做零样本预测的时间序列基础模型（TSFM，Time Series Foundation Model），能建模多条时间序列之间以及外部协变量的相互作用，无需针对具体任务单独处理。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：医疗与生命科学、金融、能源、科学研究
事件类型：研究发布
证据摘录
- “Here, we introduce Chronos-2, a foundation model for zero-shot forecasting that models the interactions between multivariate time series and heterogeneous covariates, which commonly arise in scientific applications.”
- “Extended version of the Chronos-2 technical report ( arXiv:2510.15821 ), adding scientific case studies (epidemiology, macroeconomics, carbon flux, hydrology, hierarchical forecasting), additional baselines, ablation studies, and calibration analysis.”
来源：arXiv · cs.AI · arxiv.org