| 2024 | ICLR | Balancing performance and complexity with adaptive graph coarsening. | Marek Dedic, Luks Bajer, Pavel Prochzka, Martin Holena |
| 2022 | NOMS | GNN-Based Malicious Network Entities Identification In Large-Scale Network Data. | Stepan Dvorak, Pavel Prochzka, Luks Bajer |
| 2019 | GECCO | Gaussian process surrogate models for the CMA-ES. | Luks Bajer, Zbynek Pitra, Jakub Repick, Martin Holena |
| 2017 | GECCO | Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy. | Zbynek Pitra, Luks Bajer, Jakub Repick, Martin Holena |
| 2017 | GECCO | Overview of surrogate-model versions of covariance matrix adaptation evolution strategy. | Zbynek Pitra, Luks Bajer, Jakub Repick, Martin Holena |
| 2017 | GECCO | Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy. | Zbynek Pitra, Luks Bajer, Jakub Repick, Martin Holena |
| 2016 | PPSN | Doubly Trained Evolution Control for the Surrogate CMA-ES. | Zbynek Pitra, Luks Bajer, Martin Holena |
| 2015 | GECCO | Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed. | Luks Bajer, Zbynek Pitra, Martin Holena |
| 2015 | GECCO | Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization. | Luks Bajer, Zbynek Pitra, Martin Holena |
| 2015 | ICAART | Model Guided Sampling Optimization for Low-dimensional Problems. | Luks Bajer, Martin Holena |
| 2013 | GECCO | Model guided sampling optimization with gaussian processes for expensive black-box optimization. | Luks Bajer, Viktor Charypar, Martin Holena |
| 2013 | SOFSEM | Surrogate Model for Mixed-Variables Evolutionary Optimization Based on GLM and RBF Networks. | Luks Bajer, Martin Holena |
| 2012 | GECCO | Surrogate modeling in the evolutionary optimization of catalytic materials. | Martin Holena, David Linke, Luks Bajer |
| 2011 | GECCO | Case study: constraint handling in evolutionary optimization of catalytic materials. | Martin Holena, David Linke, Luks Bajer |
| 2010 | IDEAL | Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks. | Luks Bajer, Martin Holena |