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Researcher
Robin Manhaeve
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Sep 2017 → 4 Aug 2020
Projects
1 - 2 of 2
- Neural-symbolic artificial intelligence for real-world settingsFrom1 Jan 2022 → 31 Oct 2022Funding: BOF - postdoctoral mandates
- Synthesising Inductive Data ModelsFrom1 Sep 2017 → 31 Dec 2021Funding: FWO Strategic Basic Research Grant
Publications
1 - 10 of 10
- From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey(2024)
Authors: Giuseppe Marra, Robin Manhaeve, Luc De Raedt
- Semirings for probabilistic and neuro-symbolic logic programming(2024)
Authors: Vincent Derkinderen, Robin Manhaeve, Luc De Raedt
- DeepStochLog: Neural Stochastic Logic Programming(2022)
Authors: Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
Pages: 10090 - 10100 - Neuro-Symbolic AI = Neural + Logical + Probabilistic AI(2022)
Authors: Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt
Pages: 173 - 191 - 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
- Neural probabilistic logic programming in DeepProbLog(2021)
Authors: Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt
- From Statistical Relational to Neuro-Symbolic Artificial Intelligence(2020)
Authors: Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
Pages: 4943 - 4950 - DeepProbLog: Neural Probabilistic Logic Programming(2018)
Authors: Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt
Pages: 3753 - 3760