- Hyperparameter Tuning in Echo State Networks2022 | Faculty of Mathematics and Physics
- A class of optimization problems motivated by rank estimators in robust regression2022 | Faculty of Mathematics and Physics
- Traditional Gaussian Process Surrogates in the BBOB Framework2016 | Faculty of Mathematics and Physics
- Systematic exploration of a class of hydrophobic unnatural base pairs yields multiple new candidates for the expansion of the genetic alphabet2014 | Faculty of Science
- Combining Gaussian processes and neural networks in surrogate modeling for covariance matrix adaptation evolution strategy2021 | Faculty of Mathematics and Physics, Central Library of Charles University
- Combining Gaussian Processes with Neural Networks for Active Learning in OptimizationPublication without faculty affiliation