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Journal Articles
- 2021
[j4]Gustav Sourek
, Filip Zelezný, Ondrej Kuzelka:
Beyond graph neural networks with lifted relational neural networks. Mach. Learn. 110(7): 1695-1738 (2021)- 2019
- [j3]Ondrej Hubácek, Gustav Sourek, Filip Zelezný:
Learning to predict soccer results from relational data with gradient boosted trees. Mach. Learn. 108(1): 29-47 (2019) - [j2]Gustav Sourek, Filip Zelezný:
Efficient Extraction of Network Event Types from NetFlows. Secur. Commun. Networks 2019: 8954914:1-8954914:18 (2019) - 2018
- [j1]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)
Conference and Workshop Papers
- 2021
- [c13]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Lossless Compression of Structured Convolutional Models via Lifting. ICLR 2021 - 2019
- [c12]Gustav Sourek:
Deep Learning with Relational Logic Representations. IJCAI 2019: 6462-6463 - [c11]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Scaling up relational templated neural models. NeSy@IJCAI 2019 - [c10]Martin Svatos, Gustav Sourek, Filip Zelezný:
Revisiting Neural-Symbolic Learning Cycle. NeSy@IJCAI 2019 - 2018
- [c9]Ondrej Hubácek, Gustav Sourek, Filip Zelezný:
Lifted Relational Team Embeddings for Predictive Sports Analytics. ILP Up-and-Coming / Short Papers 2018: 84-91 - [c8]Ondrej Hubácek, Gustav Sourek, Filip Zelezný:
Deep Learning from Spatial Relations for Soccer Pass Prediction. MLSA@PKDD/ECML 2018: 159-166 - 2017
- [c7]Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Stacked Structure Learning for Lifted Relational Neural Networks. ILP 2017: 140-151 - [c6]Martin Svatos, Gustav Sourek, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Pruning Hypothesis Spaces Using Learned Domain Theories. ILP 2017: 152-168 - 2016
- [c5]Gustav Sourek, Suresh Manandhar, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Learning Predictive Categories Using Lifted Relational Neural Networks. ILP 2016: 108-119 - 2015
- [c4]Gustav Sourek, Ondrej Kuzelka, Filip Zelezný:
Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic. AIMS 2015: 73-86 - [c3]Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka:
Lifted Relational Neural Networks. CoCo@NIPS 2015 - [c2]Gustav Sourek, Petr Posik:
Visual data-flow framework of evolutionary computation. RACS 2015: 343-348 - 2013
- [c1]Gustav Sourek, Ondrej Kuzelka, Filip Zelezný:
Predicting Top-k Trends on Twitter using Graphlets and Time Features. ILP (Late Breaking Papers) 2013: 52-57
Informal and Other Publications
- 2021
- [i6]Matej Uhrín, Gustav Sourek, Ondrej Hubácek, Filip Zelezný:
Optimal sports betting strategies in practice: an experimental review. CoRR abs/2107.08827 (2021) - 2020
- [i5]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Beyond Graph Neural Networks with Lifted Relational Neural Networks. CoRR abs/2007.06286 (2020) - [i4]Gustav Sourek, Filip Zelezný:
Lossless Compression of Structured Convolutional Models via Lifting. CoRR abs/2007.06567 (2020) - [i3]Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Learning with Molecules beyond Graph Neural Networks. CoRR abs/2011.03488 (2020) - 2017
- [i2]Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Stacked Structure Learning for Lifted Relational Neural Networks. CoRR abs/1710.02221 (2017) - 2015
- [i1]Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka:
Lifted Relational Neural Networks. CoRR abs/1508.05128 (2015)
Coauthor Index
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