基本信息
浏览量:1560
职业迁徙
个人简介
Our research advances how machines can learn, predict or control, and do so at scale in an efficient, principled, and interpretable manner. Our research in machine learning extends from foundational theory to modern applications, focusing especially on statistical inference and estimation tasks that lie at the heart of complex learning problems. We design new methods, theory and algorithms so as to automate the use and generation of semi-structured data such as natural language text, images, molecules, or strategies. We apply and develop our algorithms to solve multi-faceted recommender, retrieval, or inferential tasks (e.g., biomedical), design and optimize molecules or reactions for the purpose of drug design, and to model strategic, game theoretic interactions.
研究兴趣
论文共 407 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2024)
引用0浏览0EI引用
0
0
crossref(2024)
Ryotaro Okabe,Mouyang Cheng,Abhijatmedhi Chotrattanapituk,Nguyen Tuan Hung,Xiang Fu, Bowen Han, Yao Wang, Weiwei Xie,Robert J. Cava,Tommi S. Jaakkola,Yongqiang Cheng,Mingda Li
CoRR (2024)
引用0浏览0EI引用
0
0
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCEno. 2 (2024)
Nat Comput Scino. 7 (2024): 522-531
加载更多
作者统计
#Papers: 406
#Citation: 43344
H-Index: 94
G-Index: 205
Sociability: 7
Diversity: 1
Activity: 3
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn