| 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 | 486 | 2018 |
| 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 | 138 | 2020 |
| Neural probabilistic logic programming in DeepProbLog R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt Artificial Intelligence 298, 103504, 2021 | 78 | 2021 |
| 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 | 53 | 2019 |
| DeepStochLog: Neural Stochastic Logic Programming T Winters, G Marra, R Manhaeve, L De Raedt arXiv preprint arXiv:2106.12574, 2021 | 33 | 2021 |
| Approximate Inference for Neural Probabilistic Logic Programming R Manhaeve, G Marra, L De Raedt 18th International Conference on Principles of Knowledge Representation and …, 2021 | 12 | 2021 |
| From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey G Marra, S Dumančić, R Manhaeve, L De Raedt arXiv preprint arXiv:2108.11451, 2021 | 10 | 2021 |
| 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 | 8* | 2021 |
| Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning P Zuidberg Dos Martires, V Derkinderen, R Manhaeve, W Meert, ... | 5* | 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 | 2 | 2023 |
| Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training E Sansone, R Manhaeve arXiv preprint arXiv:2304.11357, 2023 | 1 | 2023 |
| An Experimental Overview of Neural-Symbolic Systems A Vermeulen, R Manhaeve, G Marra Inductive Logic Programming, 2023 | | 2023 |
| GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning E Sansone, R Manhaeve arXiv preprint arXiv:2212.13425, 2022 | | 2022 |
| 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 | | |
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityGeverifieerd e-mailadres voor cs.kuleuven.be
