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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.
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Lecture Notes in Computer Science Advances in Intelligent Data Analysis XXIIpp.141-152, (2024)
AAAI 2024no. 18 (2024): 20123-20133
ARTIFICIAL INTELLIGENCE (2024)
AAAI 2024no. 18 (2024): 20567-20576
International Journal of Approximate Reasoning (2024): 109130
arxiv(2023)
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J. Artif. Intell. Res. (2023): 517-562
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