Jirí Tumpach

15 papers A 1B 2Journal 3Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context (Extended Abstract).
GECCO Companion
Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2025 J jnl
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context.
Evol. Comput.
Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2023 — conf
Improving Optimization with Gaussian Processes in the Covariance Matrix Adaptation Evolution Strategy.
ITAT
Jirí Tumpach, Jan Koza, Martin Holena
2023 J jnl
Video Scene Location Recognition with Neural Networks.
CoRR
Lukás Korel, Petr Pulc, Jirí Tumpach, Martin Holena
2022 J jnl
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context.
CoRR
Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2022 B conf
Neural-network-based estimation of normal distributions in black-box optimization.
ESANN
Jirí Tumpach, Jan Koza, Martin Holena
2022 B conf
On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data.
IJCNN
Jan Kalina, Jirí Tumpach, Martin Holena
2021 — conf
A Comparison of Regularization Techniques for Shallow Neural NetworksTrained on Small Datasets.
ITAT
Jirí Tumpach, Jan Kalina, Martin Holena
2021 — conf
Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy.
ITAT
Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021 — conf
Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.
IAL@PKDD/ECML
Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021 A conf
Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy.
GECCO
Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena
2021 — conf
Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization.
LION
Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021 — conf
Video Scene Location Recognition with Neural Networks.
ITAT
Lukás Korel, Petr Pulc, Jirí Tumpach, Martin Holena
2020 — conf
Online Malware Detection with Variational Autoencoders.
ITAT
Jirí Tumpach, Martin Holena
2019 — conf
Deep Networks in Online Malware Detection.
ITAT
Jirí Tumpach, Marek Krcál, Martin Holena