1. * Antonie Brožová, Václav Šmídl, Ondřej Tichý, N. Evangeliou: Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires. Journal of Hazardous Materials 448. Elsevier. Download |
1. * Antonie Brožová, Václav Šmídl: 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), 559-566. SciTePress, Setúbal 2024. Download |
1. * Václav Šmídl, Antonie Brožová, Ondřej Tichý, N. Evangeliou: Estimation of Spatial-temporal Source Term of Chernobyl Wildfires using Deep Neural Network Prior. EGU General Assembly 2025. European Geosciences Union, Göttingen 2025. Download |
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2. * Antonie Brožová, Václav Šmídl, Ondřej Tichý, N. Evangeliou: Estimation of spatio-temporal source of microplastics using Bayesian Neural networks. EGU General Assembly 2024. The European Geosciences Union, Munich 2024. Download |
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3. * Antonie Brožová, Václav Šmídl, Ondřej Tichý: Bayesian methods in neural networks for inverse atmospheric modelling. Stochastic and Physical Monitoring Systems 2024. CVUT, Praha 2024. Download |