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Martin Svatoš
Martin Svatoš
PhD student, FEE, CTU in Prague
Verified email at fel.cvut.cz
Title
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Cited by
Year
Stacked structure learning for lifted relational neural networks
G Šourek, M Svatoš, F Železný, S Schockaert, O Kuželka
Inductive Logic Programming: 27th International Conference, ILP 2017 …, 2018
132018
Recursive polynomial reductions for classical planning
J Tozicka, J Jakubuv, M Svatos, A Komenda
Proceedings of the International Conference on Automated Planning and …, 2016
82016
STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment
M Svatoš, S Schockaert, J Davis, O Kuzelka
7*
Pruning hypothesis spaces using learned domain theories
M Svatoš, G Šourek, F Železný, S Schockaert, O Kuželka
Inductive Logic Programming: 27th International Conference, ILP 2017 …, 2018
52018
On Discovering Interesting Combinatorial Integer Sequences
M Svatoš, P Jung, J Tóth, Y Wang, O Kuželka
arXiv preprint arXiv:2302.04606, 2023
22023
Learning to Generate Molecules From Small Datasets Using Neural Markov Logic Networks
M Svatoš, P Jung, F Zelezný, G Marra, O Kuzelka
1*
Cautious Rule-Based Collective Inference
M Svatoš
Proceedings of the 28th International Joint Conference on Artificial …, 2019
2019
Structure learning of neural-symbolic architectures
M Svatoš
Czech Technical University in Prague, 2016
2016
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Articles 1–8