Robin Manhaeve

33 papers A* 5A 3B 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias.
AAAI
Rik Adriaensen, Lucas Van Praet, Jessa Bekker, Robin Manhaeve, Pieter Delobelle, Maarten Buyl
2025 A conf
DEEPGRAPHLOG for Layered Neurosymbolic AI.
ECAI
Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt
2025 J jnl
DeepGraphLog for Layered Neurosymbolic AI.
CoRR
Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt
2025 A conf
Neurosymbolic OCR for Handwritten Tax Forms.
ECAI
Quinten Dewulf, Robin Manhaeve, Wannes Meert, Luc De Raedt
2025 J jnl
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias.
CoRR
Rik Adriaensen, Lucas Van Praet, Jessa Bekker, Robin Manhaeve, Pieter Delobelle, Maarten Buyl
2025 J jnl
The DeepLog Neurosymbolic Machine.
CoRR
Vincent Derkinderen, Robin Manhaeve, Rik Adriaensen, Lucas Van Praet, Lennert De Smet, Giuseppe Marra, Luc De Raedt
2025 J jnl
Unifying Self-Supervised Clustering and Energy-Based Models.
Trans. Mach. Learn. Res.
Emanuele Sansone, Robin Manhaeve
2024 J jnl
A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models.
CoRR
Emanuele Sansone, Robin Manhaeve
2024 — conf
Benchmarking in Neuro-Symbolic AI.
IJCLR
Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi
2024 J jnl
From statistical relational to neurosymbolic artificial intelligence: A survey.
Artif. Intell.
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
2024 J jnl
Semirings for Probabilistic and Neuro-Symbolic Logic Programming.
CoRR
Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt
2024 J jnl
Semirings for probabilistic and neuro-symbolic logic programming.
Int. J. Approx. Reason.
Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt
2024 J jnl
Towards a fully declarative neuro-symbolic language.
CoRR
Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic
2024 — conf
ULLER: A Unified Language for Learning and Reasoning.
NeSy (1)
Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
2024 J jnl
ULLER: A Unified Language for Learning and Reasoning.
CoRR
Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
2023 B conf
An Experimental Overview of Neural-Symbolic Systems.
ILP
Arne Vermeulen, Robin Manhaeve, Giuseppe Marra
2023 J jnl
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training.
CoRR
Emanuele Sansone, Robin Manhaeve
2023 J jnl
Neural Probabilistic Logic Programming in Discrete-Continuous Domains.
CoRR
Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt
2023 A conf
Neural probabilistic logic programming in discrete-continuous domains.
UAI
Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt
2022 A* conf
DeepStochLog: Neural Stochastic Logic Programming.
AAAI
Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
2022 J jnl
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning.
CoRR
Emanuele Sansone, Robin Manhaeve
2021 A* conf
Approximate Inference for Neural Probabilistic Logic Programming.
KR
Robin Manhaeve, Giuseppe Marra, Luc De Raedt
2021 J jnl
DeepStochLog: Neural Stochastic Logic Programming.
CoRR
Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
2021 J jnl
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey.
CoRR
Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt
2021 J jnl
Neural probabilistic logic programming in DeepProbLog.
Artif. Intell.
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2021 — ch.
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI.
Neuro-Symbolic Artificial Intelligence
Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt
2020 A* conf
From Statistical Relational to Neuro-Symbolic Artificial Intelligence.
IJCAI
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
2020 J jnl
From Statistical Relational to Neuro-Symbolic Artificial Intelligence.
CoRR
Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
2019 — conf
DeepProbLog: Neural Probabilistic Logic Programming.
BNAIC/BENELEARN
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2019 J jnl
DeepProbLog: Neural Probabilistic Logic Programming.
CoRR
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2019 — conf
Neuro-Symbolic = Neural + Logical + Probabilistic.
NeSy@IJCAI
Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig
2018 A* conf
DeepProbLog: Neural Probabilistic Logic Programming.
NeurIPS
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt
2018 J jnl
DeepProbLog: Neural Probabilistic Logic Programming.
CoRR
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt