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Robin Manhaeve
Robin Manhaeve
DTAI, KU Leuven
Verified email at cs.kuleuven.be - Homepage
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Cited by
Cited by
Year
Deepproblog: Neural probabilistic logic programming
R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt
Advances in Neural Information Processing Systems 31, 3749-3759, 2018
5202018
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
LD Raedt, S Dumancic, R Manhaeve, G Marra
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
1502020
Neural probabilistic logic programming in DeepProbLog
R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt
Artificial Intelligence 298, 103504, 2021
942021
Neuro-Symbolic = Neural + Logical + Probabilistic
L De Raedt, R Manhaeve, S Dumancic, T Demeester, A Kimmig
NeSy'19@ IJCAI, the 14th International Workshop on Neural-Symbolic Learning …, 2019
562019
DeepStochLog: Neural Stochastic Logic Programming
T Winters, G Marra, R Manhaeve, L De Raedt
arXiv preprint arXiv:2106.12574, 2021
402021
Approximate Inference for Neural Probabilistic Logic Programming
R Manhaeve, G Marra, L De Raedt
18th International Conference on Principles of Knowledge Representation and …, 2021
152021
From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey
G Marra, S Dumančić, R Manhaeve, L De Raedt
Artificial Intelligence, 104062, 2024
112024
Neuro-Symbolic AI= Neural+ Logical+ Probabilistic AI
R Manhaeve, G Marra, T Demeester, S Dumančić, A Kimmig, L De Raedt
Neuro-Symbolic Artificial Intelligence: The State of the Art, 173-191, 2021
10*2021
Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning
P Zuidberg Dos Martires, V Derkinderen, R Manhaeve, W Meert, ...
8*2019
DeepProbLog: Integrating Logic and Learning through Algebraic Model Counting
R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt
5*
Neural Probabilistic Logic Programming in Discrete-Continuous Domains
L De Smet, PZD Martires, R Manhaeve, G Marra, A Kimmig, L De Raedt
arXiv preprint arXiv:2303.04660, 2023
42023
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training
E Sansone, R Manhaeve
arXiv preprint arXiv:2304.11357, 2023
32023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
E Sansone, R Manhaeve
arXiv preprint arXiv:2212.13425, 2022
32022
Semirings for Probabilistic and Neuro-Symbolic Logic Programming
V Derkinderen, R Manhaeve, PZ Dos Martires, L De Raedt
International Journal of Approximate Reasoning, 109130, 2024
2024
A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models
E Sansone, R Manhaeve
arXiv preprint arXiv:2401.00873, 2023
2023
An Experimental Overview of Neural-Symbolic Systems
A Vermeulen, R Manhaeve, G Marra
International Conference on Inductive Logic Programming, 124-138, 2023
2023
Tensorised Probabilistic Inference for Neural Probabilistic Logic Programming
L De Smet, R Manhaeve, G Marra, PZ Dos Martires
The 5th Workshop on Tractable Probabilistic Modeling, 2022
2022
Neural Probabilistic Logic Programming in DeepProbLog
R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt
arXiv, arXiv: 1907.08194, 2019
2019
Realtime Road User Detection and Classification with Single Pass Deep Learning
R Manhaeve, K De Grave, L Antanas, L De Raedt
29th Benelux Conference on Artificial Intelligence November 8–9, 2017 …, 2017
2017
Inferring Missing CV Skills using PU Learning and Variational Inference
V Verreet, L De Smet, R Manhaeve, P Delobelle, J Bekker
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