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- 1.0575759 - ÚTIA 2024 RIV US eng C - Conference Paper (international conference)
Kerepecký, Tomáš - Šroubek, Filip - Novozámský, Adam - Flusser, Jan
NeRD: Neural field-based Demosaicking.
Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP). Piscataway: IEEE, 2023, s. 1735-1739. ISBN 978-1-7281-9835-4.
[IEEE International Conference on Image Processing 2023 (ICIP 2023). Kuala Lumpur (MY), 08.10.2023-11.10.2023]
R&D Projects: GA ČR GA21-03921S
Grant - others:AV ČR(CZ) StrategieAV21/1
Institutional support: RVO:67985556
Keywords : Demosaicking * neural field * implicit neural representation
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2023/ZOI/kerepecky-0575759.pdf
Permanent Link: https://hdl.handle.net/11104/0345842 - 2.0560679 - ÚI 2023 RIV US eng C - Conference Paper (international conference)
Fejlek, Jiří - Ratschan, Stefan
Computing Funnels Using Numerical Optimization Based Falsifiers.
2022 International Conference on Robotics and Automation (ICRA). Proceedings. Piscataway: IEEE, 2022 - (O'Malley, M.), s. 4318-4324. ISBN 978-1-7281-9682-4.
[ICRA 2022: IEEE International Conference on Robotics and Automation. Philadelphia (US), 23.05.2022-27.05.2022]
R&D Projects: GA ČR(CZ) GA21-09458S
Institutional support: RVO:67985807
Keywords : Robot motion * Automation * Algebra * Ordinary differential equations * Programming * Trajectory * Behavioral sciences
OECD category: Robotics and automatic control
https://dx.doi.org/10.1109/ICRA46639.2022.9811730
Permanent Link: https://hdl.handle.net/11104/0333539 - 3.0546251 - ÚI 2022 RIV DE eng C - Conference Paper (international conference)
Borisov, S. - Dědič, M. - Holeňa, Martin
Experimental Investigation of Neural and Weisfeiler-Lehman-Kernel Graph Representations for Downstream SVM-Based Classification.
Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). Aachen: Technical University & CreateSpace Independent Publishing, 2021 - (Brejová, B.; Ciencialová, L.; Holeňa, M.; Mráz, F.; Pardubská, D.; Plátek, M.; Vinař, T.), s. 130-139. ISSN 1613-0073.
[ITAT 2021: Information Technologies - Applications and Theory /21./. Heľpa (SK), 24.09.2021-28.09.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : graph representation learning * graph neural networks * message-passing networks * Weisfeiler-Lehman isomorphism test * Weisfeiler-Lehman subtree kernel
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper50.pdf
Permanent Link: http://hdl.handle.net/11104/0322814File Download Size Commentary Version Access 0546251-aoa.pdf 2 202.6 KB OA CC BY 4.0 Publisher’s postprint open-access - 4.0546157 - ÚI 2022 RIV DE eng C - Conference Paper (international conference)
Koza, J. - Tumpach, J. - Pitra, Z. - Holeňa, Martin
Combining Gaussian Processes and Neural Networks in Surrogate Modeling for Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). Aachen: Technical University & CreateSpace Independent Publishing, 2021 - (Brejová, B.; Ciencialová, L.; Holeňa, M.; Mráz, F.; Pardubská, D.; Plátek, M.; Vinař, T.), s. 29-38. ISSN 1613-0073.
[ITAT 2021: Information Technologies - Applications and Theory /21./. Heľpa (SK), 24.09.2021-28.09.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : black-box optimization * surrogate modeling * artificial neural networks * Gaussian processes * covariance functions
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper27.pdf
Permanent Link: http://hdl.handle.net/11104/0322706File Download Size Commentary Version Access 0546157-aoa.pdf 2 1.7 MB OA CC BY 4.0 Publisher’s postprint open-access - 5.0536612 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Pitra, Zbyněk - Holeňa, Martin
Towards Landscape Analysis in Adaptive Learning of Surrogate Models.
Proceedings of the Workshop on Interactive Adaptive Learning. Aachen: Technical University & CreateSpace Independent Publishing, 2020 - (Kottke, D.; Krempl, G.; Lemaire, V.; Holzinger, A.; Calma, A.), s. 78-83. CEUR Workshop Proceedings, 2660. ISSN 1613-0073.
[IAL 2020: International Workshop on Interactive Adaptive Learning /4./. Virtual Ghent (BE), 14.09.2020-14.09.2020]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others:GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : Adaptive learning * Optimization strategy * Black-box optimization * Landscape analysis * Surrogate model
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2660/ialatecml_shortpaper2.pdf
Permanent Link: http://hdl.handle.net/11104/0314364File Download Size Commentary Version Access 0536612-aw.pdf 0 890.1 KB volně online Publisher’s postprint open-access