no code implementations • 28 Feb 2024 • Joachim Grimstad, Andrey Morozov
This paper presents a new approach to the solution of Probabilistic Risk Assessment (PRA) models using the combination of Reinforcement Learning (RL) and Graph Neural Networks (GNNs).
1 code implementation • 9 May 2023 • Georg Siedel, Weijia Shao, Silvia Vock, Andrey Morozov
In the field of adversarial robustness of image classifiers, robustness is commonly defined as the stability of a model to all input changes within a p-norm distance.
no code implementations • 15 Dec 2022 • Victoria Mayorova, Andrey Morozov, Iliya Golyak, Nikita Lazarev, Valeriia Melnikova, Dmitry Rachkin, Victor Svirin, Stepan Tenenbaum, Igor Fufurin
This work is devoted to the capabilities analysis of constellation and small spacecraft developed using CubeSat technology to solve promising problems of the Earth remote sensing in the area of greenhouse gases emissions.
no code implementations • 27 Jun 2022 • Georg Siedel, Silvia Vock, Andrey Morozov, Stefan Voß
Furthermore, we observe unexpected optima in classifiers robust accuracy through training and testing classifiers with different levels of noise.
no code implementations • 13 Dec 2020 • Michael Beyer, Andrey Morozov, Emil Valiev, Christoph Schorn, Lydia Gauerhof, Kai Ding, Klaus Janschek
The results demonstrate how random bit flips in the output of particular mathematical operations and layers of NNs affect the classification accuracy.