Sebastijan Dumancic
Sebastijan Dumancic
Postdoctoral fellow @ Department of Computer Science, KU Leuven
Verified email at cs.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Deepproblog: Neural probabilistic logic programming
R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt
Advances in Neural Information Processing Systems 31, 3749-3759, 2018
1652018
Learning sequence encoders for temporal knowledge graph completion
A García-Durán, S Dumančić, M Niepert
arXiv preprint arXiv:1809.03202, 2018
712018
Turning 30: New ideas in inductive logic programming
A Cropper, S Dumančić, SH Muggleton
arXiv preprint arXiv:2002.11002, 2020
272020
From statistical relational to neuro-symbolic artificial intelligence
L De Raedt, S Dumančić, R Manhaeve, G Marra
arXiv preprint arXiv:2003.08316, 2020
202020
Learning Relational Representations with Auto-encoding Logic Programs
S Dumancic, T Guns, W Meert, H Blockeel
International Joint Conference on Artificial Intelligence (IJCAI) 2019, 2019
20*2019
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
182019
Cobra: A fast and simple method for active clustering with pairwise constraints
T Van Craenendonck, S Dumancic, H Blockeel
arXiv preprint arXiv:1801.09955, 2018
162018
Cobras: Interactive clustering with pairwise queries
T Van Craenendonck, S Dumančić, E Van Wolputte, H Blockeel
International Symposium on Intelligent Data Analysis, 353-366, 2018
15*2018
Clustering-based relational unsupervised representation learning with an explicit distributed representation
S Dumancic, H Blockeel
International Joint Conference on Artificial Intelligence (IJCAI) 2017, 2017
122017
A comparative study of distributional and symbolic paradigms for relational learning
S Dumancic, A Garcia-Duran, M Niepert
arXiv preprint arXiv:1806.11391, 2018
8*2018
An expressive dissimilarity measure for relational clustering using neighbourhood trees
S Dumančić, H Blockeel
Machine learning 106 (9), 1523-1545, 2017
7*2017
Demystifying Relational Latent Representations
S Dumančić, H Blockeel
International Conference on Inductive Logic Programming, 2017
72017
COBRASTS: A New Approach to Semi-supervised Clustering of Time Series
T Van Craenendonck, W Meert, S Dumančić, H Blockeel
International Conference on Discovery Science, 179-193, 2018
62018
Inductive logic programming at 30: a new introduction
A Cropper, S Dumančić
arXiv preprint arXiv:2008.07912, 2020
42020
Learning large logic programs by going beyond entailment
A Cropper, S Dumančić
arXiv preprint arXiv:2004.09855, 2020
42020
Knowledge Refactoring for Inductive Program Synthesis
S Dumancic, T Guns, A Cropper
arXiv preprint arXiv:2004.09931, 2020
22020
Neural probabilistic logic programming in DeepProbLog
R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt
Artificial Intelligence 298, 103504, 2021
12021
Knowledge Refactoring for Inductive Program Synthesis
S Dumancic, T Guns, A Cropper
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7271-7278, 2021
12021
Inductive logic programming at 30
A Cropper, S Dumančić, R Evans, SH Muggleton
arXiv preprint arXiv:2102.10556, 2021
2021
avatar-Automated Feature Wrangling for Machine Learning.
G Verbruggen, E Van Wolputte, S Dumancic, L De Raedt
IDA, 235-247, 2021
2021
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