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Ondřej Kuželka
Ondřej Kuželka
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Titel
Zitiert von
Zitiert von
Jahr
Lifted relational neural networks: Efficient learning of latent relational structures
G Sourek, V Aschenbrenner, F Zelezny, S Schockaert, O Kuzelka
Journal of Artificial Intelligence Research 62, 69-100, 2018
1502018
Neural markov logic networks
G Marra, O Kuželka
Uncertainty in Artificial Intelligence, 908-917, 2021
532021
Block-wise construction of tree-like relational features with monotone reducibility and redundancy
O Kuželka, F Železný
Machine Learning 83, 163-192, 2011
462011
A restarted strategy for efficient subsumption testing
O Kuželka, F Železný
Fundamenta Informaticae 89 (1), 95-109, 2008
372008
Lifted relational neural networks
G Šourek, V Aschenbrenner, F Zelezný, O Kuzelka
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating …, 2015
312015
Hifi: Tractable propositionalization through hierarchical feature construction
O Kuželka, F Železný
Late breaking papers, the 18th international conference on inductive logic …, 2008
242008
Weighted first-order model counting in the two-variable fragment with counting quantifiers
O Kuzelka
Journal of Artificial Intelligence Research 70, 1281-1307, 2021
232021
Relational marginal problems: Theory and estimation
O Kuželka, Y Wang, J Davis, S Schockaert
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
222018
Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search
A Szabóová, O Kuželka, F Železný, J Tolar
BMC bioinformatics 13, 1-11, 2012
202012
Learning predictive categories using lifted relational neural networks
G Šourek, S Manandhar, F Železný, S Schockaert, O Kuželka
Inductive Logic Programming: 26th International Conference, ILP 2016, London …, 2017
182017
Encoding Markov logic networks in possibilistic logic
O Kuzelka, J Davis, S Schockaert
arXiv preprint arXiv:1506.01432, 2015
182015
Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption
O Kuželka, J Davis
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial …, 2019
172019
Beyond graph neural networks with lifted relational neural networks
G Šourek, F Železný, O Kuželka
Machine Learning 110 (7), 1695-1738, 2021
162021
Lossless compression of structured convolutional models via lifting
G Sourek, F Zelezny, O Kuzelka
arXiv preprint arXiv:2007.06567, 2020
162020
Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties
O Kuželka, F Železný
Proceedings of the 26th annual international conference on machine learning …, 2009
162009
Lifted inference with tree axioms
T Van Bremen, O Kuželka
Artificial Intelligence, 103997, 2023
152023
Induction of interpretable possibilistic logic theories from relational data
O Kuzelka, J Davis, S Schockaert
arXiv preprint arXiv:1705.07095, 2017
142017
Gaussian logic for predictive classification
O Kuzelka, A Szabóová, M Holec, F Zelezný
Proceedings of the European Conference on Machine Learning and Principles …, 2011
142011
Fast estimation of first-order clause coverage through randomization and maximum likelihood
O Kuželka, F Železný
Proceedings of the 25th international conference on Machine learning, 504-511, 2008
142008
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
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