Publications
- Surprisingly Strong Performance Prediction with Neural Graph Features2024 | Faculty of Mathematics and Physics, Central Library of Charles University
- ProMap: Product Mapping Datasets2024 | Faculty of Mathematics and Physics
- International Conference on Tools for Artificial Intelligence (ICTAI) Enhancing Multi-Agent Robustness: Addressing the Off-Diagonal Problem with Population-Based Training2024 | Faculty of Mathematics and Physics
- Electronic Commerce Research Extended ProMap datasets for product mapping2024 | Faculty of Mathematics and Physics
- Machine Learning and Principles and Practice of Knowledge Discovery in Databases Improving Tiled Evolutionary Adversarial Attack2024 | Faculty of Mathematics and Physics
- Planning and acting in dynamic environments: identifying and avoiding dangerous situations2022 | Faculty of Mathematics and Physics
- Using graph neural networks as surrogate models in genetic programming2022 | Faculty of Mathematics and Physics
- Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries2022 | Faculty of Mathematics and Physics
- Training Electric Vehicle Charging Controllers with Imitation Learning2021 | Faculty of Mathematics and Physics
- On Eventual Applicability of Plans in Dynamic Environments with Cyclic Phenomena2021 | Faculty of Mathematics and Physics
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