Gustav Sourek

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 18

Top Topics

Lossless Compression

Relational Data

Top Venues

Publications

Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Lossless Compression of Structured Convolutional Models via Lifting. ICLR (2021)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Beyond graph neural networks with lifted relational neural networks. Mach. Learn. 110 (7) (2021)
Matej Uhrín, Gustav Sourek, Ondrej Hubácek, Filip Zelezný
Optimal sports betting strategies in practice: an experimental review. CoRR (2021)
Gustav Sourek, Filip Zelezný
Lossless Compression of Structured Convolutional Models via Lifting. CoRR (2020)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Beyond Graph Neural Networks with Lifted Relational Neural Networks. CoRR (2020)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Learning with Molecules beyond Graph Neural Networks. CoRR (2020)
Martin Svatos, Gustav Sourek, Filip Zelezný
Revisiting Neural-Symbolic Learning Cycle. NeSy@IJCAI (2019)
Gustav Sourek, Filip Zelezný
Efficient Extraction of Network Event Types from NetFlows. Secur. Commun. Networks 2019 (2019)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Scaling up relational templated neural models. NeSy@IJCAI (2019)
Gustav Sourek
Deep Learning with Relational Logic Representations. IJCAI (2019)
Ondrej Hubácek, Gustav Sourek, Filip Zelezný
Learning to predict soccer results from relational data with gradient boosted trees. Mach. Learn. 108 (1) (2019)
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 (2018)
Ondrej Hubácek, Gustav Sourek, Filip Zelezný
Lifted Relational Team Embeddings for Predictive Sports Analytics. ILP Up-and-Coming / Short Papers (2018)
Ondrej Hubácek, Gustav Sourek, Filip Zelezný
Deep Learning from Spatial Relations for Soccer Pass Prediction. MLSA@PKDD/ECML (2018)
Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Stacked Structure Learning for Lifted Relational Neural Networks. CoRR (2017)
Martin Svatos, Gustav Sourek, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Pruning Hypothesis Spaces Using Learned Domain Theories. ILP (2017)
Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Stacked Structure Learning for Lifted Relational Neural Networks. ILP (2017)
Gustav Sourek, Suresh Manandhar, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Learning Predictive Categories Using Lifted Relational Neural Networks. ILP (2016)
Gustav Sourek, Petr Posik
Visual data-flow framework of evolutionary computation. RACS (2015)
Gustav Sourek, Ondrej Kuzelka, Filip Zelezný
Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic. AIMS (2015)
Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka
Lifted Relational Neural Networks. CoCo@NIPS (2015)
Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka
Lifted Relational Neural Networks. CoRR (2015)
Gustav Sourek, Ondrej Kuzelka, Filip Zelezný
Predicting Top-k Trends on Twitter using Graphlets and Time Features. ILP (Late Breaking Papers) (2013)