Robin Manhaeve

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Logic Programming

Artificial Intelligence

Discriminative Training

Probabilistic Logic

Top Venues

BNAIC/BENELEARN

Int. J. Approx. Reason.

Publications

Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
ULLER: A Unified Language for Learning and Reasoning. CoRR (2024)
Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic
Towards a fully declarative neuro-symbolic language. CoRR (2024)
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
From statistical relational to neurosymbolic artificial intelligence: A survey. Artif. Intell. 328 (2024)
Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt
Semirings for Probabilistic and Neuro-Symbolic Logic Programming. CoRR (2024)
Emanuele Sansone, Robin Manhaeve
A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models. CoRR (2024)
Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt
Semirings for probabilistic and neuro-symbolic logic programming. Int. J. Approx. Reason. 171 (2024)
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 (2023)
Arne Vermeulen, Robin Manhaeve, Giuseppe Marra
An Experimental Overview of Neural-Symbolic Systems. ILP (2023)
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)
Emanuele Sansone, Robin Manhaeve
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training. CoRR (2023)
Emanuele Sansone, Robin Manhaeve
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning. CoRR (2022)
Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
DeepStochLog: Neural Stochastic Logic Programming. AAAI (2022)
Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
DeepStochLog: Neural Stochastic Logic Programming. CoRR (2021)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
Neural probabilistic logic programming in DeepProbLog. Artif. Intell. 298 (2021)
Robin Manhaeve, Giuseppe Marra, Luc De Raedt
Approximate Inference for Neural Probabilistic Logic Programming. KR (2021)
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey. CoRR (2021)
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. IJCAI (2020)
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. CoRR (2020)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
DeepProbLog: Neural Probabilistic Logic Programming. BNAIC/BENELEARN (2019)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
DeepProbLog: Neural Probabilistic Logic Programming. CoRR (2019)
Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig
Neuro-Symbolic = Neural + Logical + Probabilistic. NeSy@IJCAI (2019)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
DeepProbLog: Neural Probabilistic Logic Programming. CoRR (2018)
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
DeepProbLog: Neural Probabilistic Logic Programming. NeurIPS (2018)