RIV - aktuální sběr
0588431 - ÚTIA 2025 RIV CZ eng A - Abstrakt
Brožová, Antonie - Šmídl, Václav - Tichý, Ondřej
Bayesian methods in neural networks for inverse atmospheric modelling.
Stochastic and Physical Monitoring Systems 2024. Praha: CVUT, 2024.
[Stochastic and Physical Monitoring Systems 2024 (SPMS 2024) /15./. 20.06.2024-24.06.2024, Dobřichovice]
Grant CEP: GA ČR(CZ) GA24-10400S
Institucionální podpora: RVO:67985556
Klíčová slova: Bayesian methods * mathematical modelling * neural networks
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://library.utia.cas.cz/separaty/2024/AS/brozova-0588431-abstrakt.pdf
https://library.utia.cas.cz/separaty/2024/AS/brozova-0588431-prezentace.pdf
Trvalý odkaz:
https://hdl.handle.net/11104/0355754
Uložit do RIV jako O
0583748 - ÚTIA 2025 RIV PT eng C - Konferenční příspěvek (zahraniční konf.)
Brožová, Antonie - Šmídl, Václav
Avoiding Undesirable Solutions of Deep Blind Image Deconvolution.
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024). Setúbal: SciTePress, 2024 - (Radeva, P.; Furnari, A.; Bouatouch, K.; Sousa, A.), s. 559-566. ISBN 978-989-758-679-8. ISSN 2184-4321.
[International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024) /19./. Roma (IT), 27.02.2024-29.02.2024]
Grant CEP: GA ČR GA20-27939S; GA ČR(CZ) GA24-10400S
Institucionální podpora: RVO:67985556
Klíčová slova: Blind Image Deconvolution * Deep Image Prior * No-Blur * Variational Bayes
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2024/AS/brozova-0583748.pdf
https://www.scitepress.org/Link.aspx?doi=10.5220/0012397600003660
Trvalý odkaz:
https://hdl.handle.net/11104/0353240