Ondrej Kuzelka

Yuyi Wang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Scaling up relational templated neural models.

[BibT_eX]

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Scalable Rule Learning in Probabilistic Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Lifted Weight Learning of Markov Logic Networks Revisited.

[BibT_eX]

[DOI]

Vyacheslav Kungurtsev

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures.

[BibT_eX]

[DOI]

Vojtech Aschenbrenner

J. Artif. Intell. Res., 2018

Markov Logic Networks with Statistical Quantifiers.

[BibT_eX]

[DOI]

Víctor Gutiérrez-Basulto

Jean Christoph Jung

CoRR, 2018

PAC-Reasoning in Relational Domains.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

VC-Dimension Based Generalization Bounds for Relational Learning.

[BibT_eX]

[DOI]

Yuyi Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Quantified Markov Logic Networks.

[BibT_eX]

[DOI]

Víctor Gutiérrez-Basulto

Jean Christoph Jung

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018

Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces.

[BibT_eX]

[DOI]

Thomas Ager

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Relational Marginal Problems: Theory and Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Pruning Hypothesis Spaces Using Learned Domain Theories.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Stacked Structure Learning for Lifted Relational Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Induction of Interpretable Possibilistic Logic Theories from Relational Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract).

[BibT_eX]

[DOI]

CoRR, 2016

Polynomial and Extensible Solutions in Lock-Chart Solving.

[BibT_eX]

[DOI]

Radomír Cernoch

Appl. Artif. Intell., 2016

Inducing Symbolic Rules from Entity Embeddings using Auto-encoders.

[BibT_eX]

[DOI]

Thomas Ager

Proceedings of the 11th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'16) co-located with the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2016), 2016

Learning Predictive Categories Using Lifted Relational Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

Bounds for Learning from Evolutionary-Related Data in the Realizable Case.

[BibT_eX]

[DOI]

Yuyi Wang

Jan Ramon

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Possibilistic Logic Theories from Default Rules.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Interpretable Encoding of Densities Using Possibilistic Logic.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Novel gene sets improve set-level classification of prokaryotic gene expression data.

[BibT_eX]

[DOI]

Matej Holec

BMC Bioinform., 2015

Encoding Markov logic networks in Possibilistic Logic.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Lifted Relational Neural Networks.

[BibT_eX]

[DOI]

Vojtech Aschenbrenner

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

A Note on Restricted Forms of LGG.

[BibT_eX]

[DOI]

Jan Ramon

Proceedings of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming, 2015

Mine 'Em All: A Note on Mining All Graphs.

[BibT_eX]

[DOI]

Jan Ramon

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Constructing Markov Logic Networks from First-Order Default Rules.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Mechanisms for Network Configuration and Security, 2015

2014

A method for reduction of examples in relational learning.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2014

2013

Formulating the template ILP consistency problem as a constraint satisfaction problem.

[BibT_eX]

[DOI]

Constraints An Int. J., 2013

Predicting Top-k Trends on Twitter using Graphlets and Time Features.

[BibT_eX]

[DOI]

Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013

2012

Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search.

[BibT_eX]

[DOI]

BMC Bioinform., 2012

Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Bounded Least General Generalization.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

Relational Learning with Polynomials.

[BibT_eX]

[DOI]

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Prediction of antimicrobial activity of peptides using relational machine learning.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Extending the ball-histogram method with continuous distributions and an application to prediction of DNA-binding proteins.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Block-wise construction of tree-like relational features with monotone reducibility and redundancy.

[BibT_eX]

[DOI]

Mach. Learn., 2011

Gaussian Logic for Predictive Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

Gaussian logic and its applications in bioinformatics.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2011

2010

Taming the Complexity of Inductive Logic Programming.

[BibT_eX]

[DOI]

Proceedings of the SOFSEM 2010: Theory and Practice of Computer Science, 2010

Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming.

[BibT_eX]

[DOI]

Roman Barták

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem.

[BibT_eX]

[DOI]

Roman Barták

Proceedings of the Abstraction, 2010

2009

Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

A Restarted Strategy for Efficient Subsumption Testing.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2008

Fast estimation of first-order clause coverage through randomization and maximum likelihood.

[BibT_eX]

[DOI]