< Back to previous page
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
31 - 40 of 292
- Neural Probabilistic Logic Programming(2021)
Authors: Robin Manhaeve, Luc De Raedt
- Approximate Inference for Neural Probabilistic Logic Programming(2021)
Authors: Robin Manhaeve, Giuseppe Marra, Luc De Raedt
Pages: 475 - 486 - DeepStochLog: Neural Stochastic Logic Programming (Extended Abstract)(2021)
Authors: Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
- Constraint Learning for Operations Research(2021)
Authors: Mohit Kumar Mohit Kumar, Luc De Raedt
- Shape inference and grammar induction for example-based procedural generation(2021)
Authors: Gillis Hermans, Thomas Winters, Luc De Raedt
Pages: 342 - 349Number of pages: 8 - Neural probabilistic logic programming in DeepProbLog(2021)
Authors: Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt
- Learning CNF theories using MDL and predicate invention(2021)
Authors: Angelika Kimmig, Luc De Raedt
Pages: 2599 - 2605 - Democratizing Constraint Satisfaction Problems through Machine Learning(2021)
Authors: Mohit Kumar Mohit Kumar, Samuel Kolb, Luc De Raedt
Pages: 16057 - 16059Number of pages: 3 - Leaving Goals on the Pitch: Evaluating Decision Making in Soccer(2021)
Authors: Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis
Pages: 1 - 25 - Mapping probability word problems to executable representations(2021)
Authors: Pietro Totis, Angelika Kimmig, Jesse Davis, Luc De Raedt
Pages: 3627 - 3640Number of pages: 14