Predicting Top-k Trends on Twitter using Graphlets and Time Features. - Gustav Sourek; Ondrej Kuzelka; Filip Zelezný (ILP (Late Breaking Papers), 2013)

Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic. - Gustav Sourek; Ondrej Kuzelka; Filip Zelezný (AIMS, 2015)

Lifted Relational Neural Networks. - Gustav Sourek; Vojtech Aschenbrenner; Filip Zelezný; Ondrej Kuzelka (CoCo@NIPS, 2015)

Visual data-flow framework of evolutionary computation. - Gustav Sourek; Petr Posik (RACS, 2015)

Learning Predictive Categories Using Lifted Relational Neural Networks. - Gustav Sourek; Suresh Manandhar; Filip Zelezný; Steven Schockaert; Ondrej Kuzelka (ILP, 2016)

Stacked Structure Learning for Lifted Relational Neural Networks. - Gustav Sourek; Martin Svatos; Filip Zelezný; Steven Schockaert; Ondrej Kuzelka (ILP, 2017)

Pruning Hypothesis Spaces Using Learned Domain Theories. - Martin Svatos; Gustav Sourek; Filip Zelezný; Steven Schockaert; Ondrej Kuzelka (ILP, 2017)

Lifted Relational Team Embeddings for Predictive Sports Analytics. - Ondrej Hubácek; Gustav Sourek; Filip Zelezný (ILP Up-and-Coming / Short Papers, 2018)

Deep Learning from Spatial Relations for Soccer Pass Prediction. - Ondrej Hubácek; Gustav Sourek; Filip Zelezný (MLSA@PKDD/ECML, 2018)

Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures. - Gustav Sourek; Vojtech Aschenbrenner; Filip Zelezný; Steven Schockaert; Ondrej Kuzelka (J. Artif. Intell. Res., 2018)

Deep Learning with Relational Logic Representations. - Gustav Sourek (IJCAI, 2019)

Scaling up relational templated neural models. - Gustav Sourek; Filip Zelezný; Ondrej Kuzelka (NeSy@IJCAI, 2019)

Revisiting Neural-Symbolic Learning Cycle. - Martin Svatos; Gustav Sourek; Filip Zelezný (NeSy@IJCAI, 2019)

Learning to predict soccer results from relational data with gradient boosted trees. - Ondrej Hubácek; Gustav Sourek; Filip Zelezný (Mach. Learn., 2019)

Efficient Extraction of Network Event Types from NetFlows. - Gustav Sourek; Filip Zelezný (Secur. Commun. Networks, 2019)

Lossless Compression of Structured Convolutional Models via Lifting. - Gustav Sourek; Filip Zelezný (CoRR, 2020)

Learning with Molecules beyond Graph Neural Networks. - Gustav Sourek; Filip Zelezný; Ondrej Kuzelka (CoRR, 2020)

Lossless Compression of Structured Convolutional Models via Lifting. - Gustav Sourek; Filip Zelezný; Ondrej Kuzelka (ICLR, 2021)

Optimal sports betting strategies in practice: an experimental review. - Matej Uhrín; Gustav Sourek; Ondrej Hubácek; Filip Zelezný (CoRR, 2021)

Beyond graph neural networks with lifted relational neural networks. - Gustav Sourek; Filip Zelezný; Ondrej Kuzelka (Mach. Learn., 2021)