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Researcher
Luc De Raedt
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Oct 2006 → 4 Aug 2020
Projects
1 - 10 of 89
- Neurosymbolic AI for Constraint LearningFrom1 Jan 2024 → TodayFunding: FWO research project (including WEAVE projects)
- Towards Safer and Fairer Language Models: Mitigating Bias and Enhancing Regulatory ComplianceFrom6 Dec 2023 → TodayFunding: BOF - postdoctoral mandates
- General Framework for Creative Artificial IntelligenceFrom1 Oct 2023 → TodayFunding: BOF - postdoctoral mandates
- Learning with Multiple RepresentationsFrom1 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Neural-Symbolic AIFrom16 Mar 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Learning with Multiple RepresentationsFrom1 Jan 2023 → TodayFunding: HORIZON.1.2 - Marie Skłodowska-Curie-actions (MSCA)
- Creating comics with AIFrom23 Dec 2022 → TodayFunding: Baekeland
- Machine Learning and Artificial IntelligenceFrom3 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Neurosymbolic AIFrom1 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- AI enabled artistic solutions for sustainable food systemsFrom1 Sep 2022 → TodayFunding: HORIZON.2.4 - Digital, Industry and Space
Publications
231 - 240 of 292
- Combining video and sequential statistical relational techniques to monitor card games(2010)
Authors: Bernd Gutmann, Ingo Thon, Luc De Raedt
Pages: 1 - 6 - Learning the parameters of probabilistic logic programs from interpretations(2010)
Authors: Bernd Gutmann, Ingo Thon, Luc De Raedt
Pages: 581 - 596Number of pages: 16 - Mining predictive k-CNF expressions(2010)
Authors: Anton Dries, Luc De Raedt, Siegfried Nijssen
Pages: 743 - 748 - Probabilistic rule learning(2010)
Authors: Luc De Raedt, Ingo Thon, P Frasconi, FA Lisi
Pages: 47 - 58 - Fast learning of relational kernels(2010)
Authors: Niels Landwehr, Luc De Raedt
Pages: 305 - 342 - Towards clausal discovery for stream mining(2010)
Authors: Anton Dries, Luc De Raedt
Pages: 9 - 16 - Multi-relational data mining(2010)
Authors: Luc De Raedt
Pages: 711 - 711 - Probabilistic rule learning(2010)
Authors: Luc De Raedt, Ingo Thon
Pages: 47 - 58 - Inductive logic programming(2010)
Authors: Luc De Raedt
Pages: 529 - 537 - About knowledge and inference in logical and relational learning(2010)
Authors: Luc De Raedt
Pages: 143 - 154