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Robin Manhaeve
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2020 – today
- 2024
- [j3]Giuseppe Marra
, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
From statistical relational to neurosymbolic artificial intelligence: A survey. Artif. Intell. 328: 104062 (2024) - [j2]Vincent Derkinderen
Semirings for probabilistic and neuro-symbolic logic programming. Int. J. Approx. Reason. 171: 109130 (2024) - [c9]Emile van Krieken
ULLER: A Unified Language for Learning and Reasoning. NeSy (1) 2024: 219-239 - [i12]Emanuele Sansone, Robin Manhaeve:
A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models. CoRR abs/2401.00873 (2024) - [i11]Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt:
Semirings for Probabilistic and Neuro-Symbolic Logic Programming. CoRR abs/2402.13782 (2024) - [i10]Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia:
ULLER: A Unified Language for Learning and Reasoning. CoRR abs/2405.00532 (2024) - [i9]Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic:
Towards a fully declarative neuro-symbolic language. CoRR abs/2405.09521 (2024) - 2023
- [c8]Arne Vermeulen, Robin Manhaeve, Giuseppe Marra:
An Experimental Overview of Neural-Symbolic Systems. ILP 2023: 124-138 - [c7]Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt:
Neural probabilistic logic programming in discrete-continuous domains. UAI 2023: 529-538 - [i8]Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt:
Neural Probabilistic Logic Programming in Discrete-Continuous Domains. CoRR abs/2303.04660 (2023) - [i7]Emanuele Sansone, Robin Manhaeve:
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training. CoRR abs/2304.11357 (2023) - 2022
- [c6]Thomas Winters, Giuseppe Marra, Robin Manhaeve
DeepStochLog: Neural Stochastic Logic Programming. AAAI 2022: 10090-10100 - [i6]Emanuele Sansone, Robin Manhaeve:
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning. CoRR abs/2212.13425 (2022) - 2021
- [j1]Robin Manhaeve
Neural probabilistic logic programming in DeepProbLog. Artif. Intell. 298: 103504 (2021) - [c5]Robin Manhaeve
Approximate Inference for Neural Probabilistic Logic Programming. KR 2021: 475-486 - [p1]Robin Manhaeve
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI. Neuro-Symbolic Artificial Intelligence 2021: 173-191 - [i5]Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt:
DeepStochLog: Neural Stochastic Logic Programming. CoRR abs/2106.12574 (2021) - [i4]Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt:
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey. CoRR abs/2108.11451 (2021) - 2020
- [c4]Luc De Raedt
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. IJCAI 2020: 4943-4950 - [i3]Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra:
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. CoRR abs/2003.08316 (2020)
2010 – 2019
- 2019
- [c3]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. BNAIC/BENELEARN 2019 - [c2]Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig:
Neuro-Symbolic = Neural + Logical + Probabilistic. NeSy@IJCAI 2019 - [i2]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. CoRR abs/1907.08194 (2019) - 2018
- [c1]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. NeurIPS 2018: 3753-3763 - [i1]Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt:
DeepProbLog: Neural Probabilistic Logic Programming. CoRR abs/1805.10872 (2018)
Coauthor Index
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last updated on 2024-09-21 23:41 CEST by the dblp team
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