Ondrej Kuzelka

Identifiers

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Papers (11)

1. Lifted Weight Learning of Markov Logic Networks Revisited cs.AI · 2019 · author #1
2. Quantified Markov Logic Networks cs.AI · 2018 · author #3
3. VC-Dimension Based Generalization Bounds for Relational Learning cs.LG · 2018 · author #1
4. PAC-Reasoning in Relational Domains cs.AI · 2018 · author #1
5. Stacked Structure Learning for Lifted Relational Neural Networks cs.LG · 2017 · author #5
6. Relational Marginal Problems: Theory and Estimation cs.AI · 2017 · author #1
7. Induction of Interpretable Possibilistic Logic Theories from Relational Data cs.AI · 2017 · author #1
8. Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract) cs.AI · 2016 · author #1
9. Learning Possibilistic Logic Theories from Default Rules cs.AI · 2016 · author #1
10. Lifted Relational Neural Networks cs.AI · 2015 · author #4
11. Encoding Markov Logic Networks in Possibilistic Logic cs.AI · 2015 · author #1

Mentions

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Frequent Coauthors

• Steven Schockaert 8 shared papers
• Jesse Davis 6 shared papers
• Yuyi Wang 3 shared papers
• Filip Zelezny 2 shared papers
• Gustav Sourek 2 shared papers
• Jean Christoph Jung 1 shared papers
• Martin Svatos 1 shared papers
• V\'ictor Guti\'errez-Basulto 1 shared papers
• Vojtech Aschenbrenner 1 shared papers
• Vyacheslav Kungurtsev 1 shared papers