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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
11 - 20 of 292
- Program Synthesis for Automated Data Wrangling(2023)
Authors: Gust Verbruggen, Luc De Raedt
- Hybrid Probabilistic Logic Programming: Inference and Learning(2023)
Authors: Nitesh Kumar, Luc De Raedt
- Declarative Modelling and Reasoning for Combinatorial Problem Solving and Argumentation under Uncertainty(2023)
Authors: Pietro Totis, Luc De Raedt, Angelika Kimmig, Jesse Davis
- Lifted Reasoning for Combinatorial Counting(2023)
Authors: Pietro Totis, Jesse Davis, Luc De Raedt, Angelika Kimmig
Pages: 1 - 58 - First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs(2023)
Authors: Luc De Raedt
Pages: 683 - 735 - Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation(2023)
Authors: Mohit Kumar Mohit Kumar, Samuel Kolb, Luc De Raedt
- The Collection of Papers Celebrating the 20th Anniversary of TPLP, Part II(2023)
Authors: Luc De Raedt
Pages: 1 - 1 - A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer(2023)
Authors: Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis
Pages: 517 - 562 - Introduction to the Collection of Papers Celebrating the 20th Anniversary of TPLP(2022)
Authors: Luc De Raedt
Pages: 770 - 775 - DeepStochLog: Neural Stochastic Logic Programming(2022)
Authors: Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
Pages: 10090 - 10100