| 2021 | ICLR | Lossless Compression of Structured Convolutional Models via Lifting. | Gustav Sourek, Filip Zelezn, Ondrej Kuzelka |
| 2019 | IJCAI | Deep Learning with Relational Logic Representations. | Gustav Sourek |
| 2019 | NeSy | Scaling up relational templated neural models. | Gustav Sourek, Filip Zelezn, Ondrej Kuzelka |
| 2019 | NeSy | Revisiting Neural-Symbolic Learning Cycle. | Martin Svatos, Gustav Sourek, Filip Zelezn |
| 2018 | ILP | Lifted Relational Team Embeddings for Predictive Sports Analytics. | Ondrej Hubcek, Gustav Sourek, Filip Zelezn |
| 2017 | ILP | Stacked Structure Learning for Lifted Relational Neural Networks. | Gustav Sourek, Martin Svatos, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2017 | ILP | Pruning Hypothesis Spaces Using Learned Domain Theories. | Martin Svatos, Gustav Sourek, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2016 | ILP | Learning Predictive Categories Using Lifted Relational Neural Networks. | Gustav Sourek, Suresh Manandhar, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2013 | ILP | Predicting Top-k Trends on Twitter using Graphlets and Time Features. | Gustav Sourek, Ondrej Kuzelka, Filip Zelezn |