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Luc De Raedt

Luc De Raedt has 2 papers in our library, in 2018–2021; often with Robin Manhaeve, Sebastijan Dumančić, Thomas Demeester.

2 papers in our library · 2018–2021

OpenAlex · ORCID · Wikidata · h-index 66 · 667 works · 18,853 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 80 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6752

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓KU LeuvenLeuven · Belgium1986–2026 · 380 papersEducationEmployment 1986–1999 · Phd Student/Post-doc/Part time Lecturer, Computer ScienceEmployment since 2006 · Professor, Computer Sciencecurrent🎓Örebro UniversityÖrebro · Sweden2020–2026 · 39 papersEmployment since 2020 · Guest Professor, Centre for Applied Autonomous Sensor Systemscurrent🎓University of FreiburgFreiburg im Breisgau · Germany1999–2012 · 65 papersEmployment 1999–2006 · Professor, Computer Science🎓University of CopenhagenCopenhagen · Denmark2014–2020 · 4 papers🎓Saarland UniversitySaarbrücken · Germany2004–2010 · 2 papers🏛️Bernstein Center for Computational Neuroscience FreiburgFreiburg · Germany2006–2007 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 2The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 works

💡 Concepts 2Key ideas and methods explained on our concept pages.Knowledge representation and reasoning · 1 workArtificial intelligence · 1 work

 Works by year

2020s

20211 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DeepProbLog: Neural Probabilistic Logic Programming (2018 · 172 citations)
    Linking low-level perception, which neural networks handle well, with high-level probabilistic and logical reasoning is a long-standing open problem in AI.
  2. From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey (2021 · 3 citations)
    Neurosymbolic AI (NeSy), which combines neural networks with symbolic reasoning, and statistical relational AI (StarAI), which combines logic with probabilistic graphical models, both aim to unify learning and reasoning.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. DeepProbLog: Neural Probabilistic Logic ProgrammingarXiv:1805.10872Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, et al.2018 · 172 citations
  2. SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge ↗arXiv:2308.12682 · no summary yetRishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt2023 · 51 citations
  3. From Statistical Relational to Neurosymbolic Artificial Intelligence: a SurveyarXiv:2108.11451Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.2021 · 3 citations

 Co-authors here

3 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 80 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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