Sebastijan Dumancic
Sebastijan Dumancic
Tenured Assistant Professor @ Delft University of Technology
Verified email at - Homepage
Cited by
Cited by
Deepproblog: Neural probabilistic logic programming
R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt
Advances in neural information processing systems 31, 2018
Learning sequence encoders for temporal knowledge graph completion
A García-Durán, S Dumančić, M Niepert
arXiv preprint arXiv:1809.03202, 2018
From statistical relational to neuro-symbolic artificial intelligence
L De Raedt, S Dumančić, R Manhaeve, G Marra
arXiv preprint arXiv:2003.08316, 2020
Neural probabilistic logic programming in DeepProbLog
R Manhaeve, S Dumančić, A Kimmig, T Demeester, L De Raedt
Artificial Intelligence 298, 103504, 2021
Turning 30: New ideas in inductive logic programming
A Cropper, S Dumančić, SH Muggleton
arXiv preprint arXiv:2002.11002, 2020
Inductive logic programming at 30: a new introduction
A Cropper, S Dumančić
Journal of Artificial Intelligence Research 74, 765-850, 2022
Inductive logic programming at 30
A Cropper, S Dumančić, R Evans, SH Muggleton
Machine Learning, 1-26, 2022
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
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
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
Cobras: Interactive clustering with pairwise queries
T Van Craenendonck, S Dumančić, E Van Wolputte, H Blockeel
Advances in Intelligent Data Analysis XVII: 17th International Symposium …, 2018
COBRASTS: A New Approach to Semi-supervised Clustering of Time Series
T Van Craenendonck, W Meert, S Dumančić, H Blockeel
Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus …, 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
A comparative study of distributional and symbolic paradigms for relational learning
S Dumancic, A García-Durán, M Niepert
arXiv preprint arXiv:1806.11391, 2018
Learning large logic programs by going beyond entailment
A Cropper, S Dumančić
arXiv preprint arXiv:2004.09855, 2020
From statistical relational to neurosymbolic artificial intelligence: A survey
G Marra, S Dumančić, R Manhaeve, L De Raedt
Artificial Intelligence, 104062, 2024
Neural probabilistic logic programming
R Manhaeve, S Dumancic, A Kimmig, T Demeester, LD De Raedt
Advances in Neural Information Processing Systems 31, 3753-3763, 2021
Neuro-Symbolic AI= Neural+ Logical+ Probabilistic AI
P Hitzler, M Sarker
Neuro-Symbolic Artificial Intelligence: The State of the Art 342, 173, 2022
Knowledge Refactoring for Inductive Program Synthesis
S Dumancic, T Guns, A Cropper
AAAI Conference on Artificial Intelligence 35, 7271--7278, 2021
An expressive dissimilarity measure for relational clustering using neighbourhood trees
S Dumančić, H Blockeel
Machine learning 106, 1523-1545, 2017
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