Robin Manhaeve

According to our database, Robin Manhaeve authored at least 24 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DeepLog: A Software Framework for Modular Neurosymbolic AI.

Robin Manhaeve, Stefano Colamonaco, Vincent Derkinderen, Rik Adriaensen, Lucas Van Praet, Luc De Raedt, Giuseppe Marra

CoRR, May, 2026

ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias.

Rik Adriaensen, Lucas Van Praet, Jessa Bekker, Robin Manhaeve, Pieter Delobelle, Maarten Buyl

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

The DeepLog Neurosymbolic Machine.

Vincent Derkinderen, Robin Manhaeve, Rik Adriaensen, Lucas Van Praet, Lennert De Smet, Giuseppe Marra, Luc De Raedt

CoRR, August, 2025

Unifying Self-Supervised Clustering and Energy-Based Models.

Emanuele Sansone, Robin Manhaeve

Trans. Mach. Learn. Res., 2025

DEEPGRAPHLOG for Layered Neurosymbolic AI.

Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Neurosymbolic OCR for Handwritten Tax Forms.

Quinten Dewulf, Robin Manhaeve, Wannes Meert, Luc De Raedt

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

From statistical relational to neurosymbolic artificial intelligence: A survey.

Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt

Artif. Intell., March, 2024

Semirings for probabilistic and neuro-symbolic logic programming.

Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt

Int. J. Approx. Reason., 2024

Towards a fully declarative neuro-symbolic language.

Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic

CoRR, 2024

A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models.

Emanuele Sansone, Robin Manhaeve

CoRR, 2024

ULLER: A Unified Language for Learning and Reasoning.

Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Benchmarking in Neuro-Symbolic AI.

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

Proceedings of the Learning and Reasoning, 2024

2023

Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training.

Emanuele Sansone, Robin Manhaeve

CoRR, 2023

Neural probabilistic logic programming in discrete-continuous domains.

Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt

Proceedings of the Uncertainty in Artificial Intelligence, 2023

An Experimental Overview of Neural-Symbolic Systems.

Arne Vermeulen, Robin Manhaeve, Giuseppe Marra

Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

2022

GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning.

Emanuele Sansone, Robin Manhaeve

CoRR, 2022

DeepStochLog: Neural Stochastic Logic Programming.

Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Neuro-Symbolic AI = Neural + Logical + Probabilistic AI.

Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey.

Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt

CoRR, 2021

Neural probabilistic logic programming in DeepProbLog.

Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt

Artif. Intell., 2021

Approximate Inference for Neural Probabilistic Logic Programming.

Robin Manhaeve, Giuseppe Marra, Luc De Raedt

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

2020

From Statistical Relational to Neuro-Symbolic Artificial Intelligence.

Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Neuro-Symbolic = Neural + Logical + Probabilistic.

Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

DeepProbLog: Neural Probabilistic Logic Programming.

Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019