Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Beyond Graph Neural Networks with Lifted Relational Neural Networks

Jul 13, 2020
Gustav Sourek, Filip Zelezny, Ondrej Kuzelka

* Submitted to MLJ's Special Track on Learning and Reasoning (May 15th 2020 cut-off) http://lr2020.iit.demokritos.gr/ 

  Access Paper or Ask Questions

Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers

Jul 10, 2020
Ondrej Kuzelka


  Access Paper or Ask Questions

Lifted Inference in 2-Variable Markov Logic Networks with Function and Cardinality Constraints Using Discrete Fourier Transform

Jun 04, 2020
Ondrej Kuzelka

* arXiv admin note: text overlap with arXiv:2002.10259 

  Access Paper or Ask Questions

Markov Logic Networks with Complex Weights: Expressivity, Liftability and Fourier Transforms

Feb 24, 2020
Ondrej Kuzelka


  Access Paper or Ask Questions

Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry

Jan 15, 2020
Timothy van Bremen, Ondrej Kuzelka

* Presented at StarAI 2020 

  Access Paper or Ask Questions

Domain-Liftability of Relational Marginal Polytopes

Jan 15, 2020
Ondrej Kuzelka, Yuyi Wang

* A preliminary version of a paper accepted to AISTATS 2020, presented at the StarAI 2020 workshop 

  Access Paper or Ask Questions

Lifted Weight Learning of Markov Logic Networks Revisited

Mar 07, 2019
Ondrej Kuzelka, Vyacheslav Kungurtsev

* Appearing in the proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 

  Access Paper or Ask Questions

Quantified Markov Logic Networks

Aug 21, 2018
Víctor Gutiérrez-Basulto, Jean Christoph Jung, Ondrej Kuzelka

* Paper accepted at the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018). This work was also presented in the Eighth International Workshop on Statistical Relational AI (StarAI 2018) under the title "Markov Logic Networks with Statistical Quantifiers" 

  Access Paper or Ask Questions

PAC-Reasoning in Relational Domains

Jul 04, 2018
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert

* Longer version of paper appearing in UAI 2018 

  Access Paper or Ask Questions

VC-Dimension Based Generalization Bounds for Relational Learning

Jul 04, 2018
Ondrej Kuzelka, Yuyi Wang, Steven Schockaert

* Longer version of paper accepted at ECML PKDD 2018 

  Access Paper or Ask Questions

Relational Marginal Problems: Theory and Estimation

Apr 25, 2018
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert

* Long version of a paper that appeared in AAAI 2018; added a paragraph to Related Work 

  Access Paper or Ask Questions

Stacked Structure Learning for Lifted Relational Neural Networks

Oct 05, 2017
Gustav Sourek, Martin Svatos, Filip Zelezny, Steven Schockaert, Ondrej Kuzelka

* Presented at ILP 2017 

  Access Paper or Ask Questions

Induction of Interpretable Possibilistic Logic Theories from Relational Data

May 19, 2017
Ondrej Kuzelka, Jesse Davis, Steven Schockaert

* Longer version of a paper appearing in IJCAI 2017 

  Access Paper or Ask Questions

Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract)

Nov 18, 2016
Ondrej Kuzelka, Jesse Davis, Steven Schockaert

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

  Access Paper or Ask Questions

Learning Possibilistic Logic Theories from Default Rules

Apr 18, 2016
Ondrej Kuzelka, Jesse Davis, Steven Schockaert

* Long version of a paper accepted at IJCAI 2016 

  Access Paper or Ask Questions

Lifted Relational Neural Networks

Oct 13, 2015
Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezny, Ondrej Kuzelka

* Expanded section on weight learning, added explanation of relationship to convolutional neural networks 

  Access Paper or Ask Questions

Encoding Markov Logic Networks in Possibilistic Logic

Jun 08, 2015
Ondrej Kuzelka, Jesse Davis, Steven Schockaert

* Extended version of a paper appearing in UAI 2015 

  Access Paper or Ask Questions