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 65 results
- Neural-Symbolic Computation: A Probabilistic Logic PerspectiveFrom4 Jan 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Automating Data Science: the Next Frontiers.From1 Jan 2021 → TodayFunding: BOF - projects
- AI in Industry: Learning and Reasoning for AutomationFrom1 Jan 2021 → TodayFunding: IOF - mandates
- TPAL: an Assembly Language for Temporal Probabilistic ProgrammingFrom1 Dec 2020 → TodayFunding: BOF - postdoctoral mandates
- The use of inductive programming for automated data wrangling and data science will be investigated iin the ERC SYNTH projectFrom20 Nov 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Foundations of Trustworthy AI - Integrating Reasoning, Learning and OptimizationFrom1 Sep 2020 → TodayFunding: H2020 - Innovation in SMEs
- Artificial Intelligence without BiasFrom1 Jan 2020 → TodayFunding: H2020 - Skills and Career Development (Marie Sk?odowska-Curie) actions
- The KU Leuven Institute for Artificial Intelligence (Leuven.AI): an interdisciplinary collaboration regarding artificial intelligence.From1 Jan 2020 → TodayFunding: BOF - research organisations
- Neural Probabilistic Logic ProgrammingFrom1 Jan 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Learning Hybrid Constraints and Using them to Reason EffectivelyFrom1 Oct 2019 → 30 Sep 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 235 results
- Ordering Variables for Weighted Model Integration(2020)
Authors: Vincent Derkinderen, Evert Heylen, Pedro Miguel Zuidberg Dos Martires, Samuel Kolb, Luc De Raedt, Ryan P Adams, Vibhav Gogate
Pages: 879 - 888Number of pages: 10 - From Atoms to Possible Worlds: Probabilistic Inference in the Discrete-Continuous Domain(2020)
- Semiring programming: A semantic framework for generalized sum product problems(2020)
Authors: Vaishak Belle, Luc De Raedt
Pages: 181 - 201Number of pages: 21 - Discovering Textual Structures: Generative Grammar Induction using Template Trees(2020)
Authors: Thomas Winters, Luc De Raedt
Pages: 177 - 180Number of pages: 4 - Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring(2020)
Authors: Pedro Miguel Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt
Number of pages: 15 - ProbAnch: a Modular Probabilistic Anchoring Framework(2020)
Authors: Andreas Persson, Pedro Miguel Zuidberg Dos Martires, Luc De Raedt, Amy Loutfi
Pages: 5285 - 5287 - COVID-19 in people with multiple sclerosis: A global data sharing initiative(2020)
Authors: Liesbet M Peeters, Tina Parciak, Clare Walton, Lotte Geys, Yves Moreau, Edward De Brouwer, Daniele Raimondi, Ashkan Pirmani, Tomas Kalincik, Gilles Edan, et al.
Pages: 1157 - 1162Number of pages: 6 - Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation(2020)
Authors: Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
Pages: 4493 - 4500Number of pages: 8 - Semantic Relational Object Tracking(2020)
Authors: Andreas Persson, Pedro Miguel Zuidberg Dos Martires, Luc De Raedt, Amy Loutfi
Pages: 84 - 97Number of pages: 14 - Algebraic Circuits for Decision Theoretic Inference and Learning(2020)
Authors: Vincent Derkinderen, Luc De Raedt, Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang
Pages: 2569 - 2576Number of pages: 8