基本信息
浏览量:5225
职业迁徙
个人简介
Luc De Raedt's research interests are in Artificial Intelligence, Machine Learning and Data Mining, as well as their applications. He is well known for his contributions in the areas of learning and reasoning, in particular, for his contributions to statistical relational learning, probabilistic and inductive programming. Today he is working on the next generation of programming languages, which can automatically learn from data, on combining probabilistic and logical reasoning and learning, on the automation of (data) science, and on verifying learning artificial intelligence systems and robotics. He is also now also focusing on integrating the probabilistic logics with neural networks and wants to apply these to reinforcement learning as well as program induction.
研究兴趣
论文共 606 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
Machine Learningno. 3 (2024): 1351-1372
Artif. Intell. (2024)
Proceedings of the AAAI Conference on Artificial Intelligenceno. 18 (2024): 20567-20576
International Journal of Approximate Reasoningpp.109130, (2024)
arxiv(2023)
引用12浏览0EI引用
12
0
J. Artif. Intell. Res. (2023): 517-562
引用0浏览0EI引用
0
0
ICLR 2023 (2023): 529-538
Proceedings of the AAAI Conference on Artificial Intelligenceno. 18 (2023): 20123-20133
加载更多
作者统计
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