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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
21 - 30 of 292
- Inference and Learning with Model Uncertainty in Probabilistic Logic Programs(2022)
Authors: Victor Verreet, Vincent Derkinderen, Luc De Raedt
Pages: 10060 - 10069 - Lifted Model Checking for Relational MDPs(2022)
Authors: Wen-Chi Yang, Luc De Raedt
Pages: 3797 - 3838 - Symmetry at Many Levels: Exploiting Symmetry for Fast Probabilistic Inference and Counting(2022)
Authors: Timothy Van Bremen, Luc De Raedt
- OMEN: network-based driver gene identification using mutual exclusivity(2022)
Authors: Dries Van Daele, Luc De Raedt
Pages: 3245 - 3251 - Parameter Learning in ProbLog with Annotated Disjunctions(2022)
Authors: Wen-Chi Yang, Luc De Raedt, Wannes Meert
Pages: 378 - 391Number of pages: 14 - Automating Data Science: Prospects and Challenges(2022)
Authors: Luc De Raedt
Pages: 76 - 87 - Learning Distributional Programs for Relational Autocompletion(2022)
Authors: Nitesh Kumar, Luc De Raedt
Pages: 81 - 114 - Inference and Learning with Model Uncertainty in Probabilistic Logic Programs(2022)
Authors: Victor Verreet, Vincent Derkinderen, Luc De Raedt
- Neuro-Symbolic AI = Neural + Logical + Probabilistic AI(2022)
Authors: Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt
Pages: 173 - 191 - Inference and Learning with Model Uncertainty in Probabilistic Logic Programs(2022)
Authors: Victor Verreet, Vincent Derkinderen, Luc De Raedt