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Filip Zelezný
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Publications
- 2023
- [p1]Gustav Sír, Filip Zelezný, Ondrej Kuzelka:
Lifted Relational Neural Networks: From Graphs to Deep Relational Learning. Compendium of Neurosymbolic Artificial Intelligence 2023: 308-336 - 2021
- [j28]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Beyond graph neural networks with lifted relational neural networks. Mach. Learn. 110(7): 1695-1738 (2021) - [c55]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Lossless Compression of Structured Convolutional Models via Lifting. ICLR 2021 - [c54]Jáchym Barvínek, Timothy van Bremen, Yuyi Wang, Filip Zelezný, Ondrej Kuzelka:
Automatic Conjecturing of P-Recursions Using Lifted Inference. ILP 2021: 17-25 - 2020
- [i7]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Beyond Graph Neural Networks with Lifted Relational Neural Networks. CoRR abs/2007.06286 (2020) - [i5]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Learning with Molecules beyond Graph Neural Networks. CoRR abs/2011.03488 (2020) - 2019
- [c52]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Scaling up relational templated neural models. NeSy@IJCAI 2019 - 2018
- [j22]Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures. J. Artif. Intell. Res. 62: 69-100 (2018) - 2017
- [c46]Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Stacked Structure Learning for Lifted Relational Neural Networks. ILP 2017: 140-151 - [c45]Martin Svatos, Gustav Sourek, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Pruning Hypothesis Spaces Using Learned Domain Theories. ILP 2017: 152-168 - [i3]Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Stacked Structure Learning for Lifted Relational Neural Networks. CoRR abs/1710.02221 (2017) - 2016
- [j21]Radomír Cernoch, Ondrej Kuzelka, Filip Zelezný:
Polynomial and Extensible Solutions in Lock-Chart Solving. Appl. Artif. Intell. 30(10): 923-941 (2016) - [c43]Gustav Sourek, Suresh Manandhar, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Learning Predictive Categories Using Lifted Relational Neural Networks. ILP 2016: 108-119 - 2015
- [j20]Matej Holec, Ondrej Kuzelka, Filip Zelezný:
Novel gene sets improve set-level classification of prokaryotic gene expression data. BMC Bioinform. 16: 348:1-348:8 (2015) - [c42]Gustav Sourek, Ondrej Kuzelka, Filip Zelezný:
Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic. AIMS 2015: 73-86 - [c41]Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka:
Lifted Relational Neural Networks. CoCo@NIPS 2015 - [i2]Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka:
Lifted Relational Neural Networks. CoRR abs/1508.05128 (2015) - 2014
- [j18]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný:
A method for reduction of examples in relational learning. J. Intell. Inf. Syst. 42(2): 255-281 (2014) - 2013
- [j16]Roman Barták, Radomír Cernoch, Ondrej Kuzelka, Filip Zelezný:
Formulating the template ILP consistency problem as a constraint satisfaction problem. Constraints An Int. J. 18(2): 144-165 (2013) - [c39]Gustav Sourek, Ondrej Kuzelka, Filip Zelezný:
Predicting Top-k Trends on Twitter using Graphlets and Time Features. ILP (Late Breaking Papers) 2013: 52-57 - 2012
- [j12]Andrea Szabóová, Ondrej Kuzelka, Filip Zelezný, Jakub Tolar:
Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search. BMC Bioinform. 13(S-10): S3 (2012) - [c38]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný:
Extending the ball-histogram method with continuous distributions and an application to prediction of DNA-binding proteins. BIBM 2012: 1-4 - [c37]Andrea Szabóová, Ondrej Kuzelka, Filip Zelezný:
Prediction of antimicrobial activity of peptides using relational machine learning. BIBM Workshops 2012: 575-580 - [c36]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný:
Relational Learning with Polynomials. ICTAI 2012: 1145-1150 - [c35]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný:
Bounded Least General Generalization. ILP 2012: 116-129 - [c34]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný:
Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses. NFMCP 2012: 17-32 - 2011
- [j10]Ondrej Kuzelka, Filip Zelezný:
Block-wise construction of tree-like relational features with monotone reducibility and redundancy. Mach. Learn. 83(2): 163-192 (2011) - [c33]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný:
Gaussian logic and its applications in bioinformatics. BCB 2011: 496-498 - [c28]Andrea Szabóová, Ondrej Kuzelka, Sergio Morales E., Filip Zelezný, Jakub Tolar:
Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method. ISBRA 2011: 358-367 - [c27]Ondrej Kuzelka, Andrea Szabóová, Matej Holec, Filip Zelezný:
Gaussian Logic for Predictive Classification. ECML/PKDD (2) 2011: 277-292 - 2010
- [c26]Roman Barták, Ondrej Kuzelka, Filip Zelezný:
Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem. Abstraction, Reformulation, and Approximation 2010 - [c25]Roman Barták, Ondrej Kuzelka, Filip Zelezný:
Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming. FLAIRS 2010 - [c24]Ondrej Kuzelka, Filip Zelezný:
Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples. ILP 2010: 138-145 - [c22]Filip Zelezný, Ondrej Kuzelka:
Taming the Complexity of Inductive Logic Programming. SOFSEM 2010: 132-140 - 2009
- [c21]Ondrej Kuzelka, Filip Zelezný:
Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties. ICML 2009: 569-576 - 2008
- [j7]Ondrej Kuzelka, Filip Zelezný:
A Restarted Strategy for Efficient Subsumption Testing. Fundam. Informaticae 89(1): 95-109 (2008) - [c19]Ondrej Kuzelka, Filip Zelezný:
Fast estimation of first-order clause coverage through randomization and maximum likelihood. ICML 2008: 504-511
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last updated on 2023-10-19 21:11 CEST by the dblp team
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