Ing.

Roman Andriushchenko

Ph.D. student

+420 54114 1178
iandri@fit.vut.cz
A219 Office
178259/BUT personal ID

Publications

  • 2023

    ANDRIUSHCHENKO Roman, BARTOCCI Ezio, ČEŠKA Milan, FRANCESCO Pontiggia and SARAH Sallinger. Deductive Controller Synthesis for Probabilistic Hyperproperties. In: Quantitative Evaluation of SysTems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14287. Cham: Springer Verlag, 2023, pp. 288-306. ISBN 978-3-031-43834-9.
    Detail

    ANDRIUSHCHENKO Roman, ALEXANDER Bork, ČEŠKA Milan, JUNGES Sebastian, KATOEN Joost-Pieter and MACÁK Filip. Search and Explore: Symbiotic Policy Synthesis in POMDPs. In: Computer Aided Verification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13966. Cham: Springer Verlag, 2023, pp. 113-135. ISBN 978-3-031-37708-2.
    Detail

  • 2022

    ANDRIUSHCHENKO Roman, ČEŠKA Milan, MARCIN Vladimír and VOJNAR Tomáš. GPU-Accelerated Synthesis of Probabilistic Programs. In: International Conference on Computer Aided Systems Theory (EUROCAST'22). Lecture Notes in Computer Science. Cham, 2022, pp. 256-266. ISBN 978-3-031-25312-6.
    Detail

    ANDRIUSHCHENKO Roman, ČEŠKA Milan, JUNGES Sebastian and KATOEN Joost-Pieter. Inductive Synthesis of Finite-State Controllers for POMDPs. In: Conference on Uncertainty in Artificial Intelligence. Proceedings of Machine Learning Research, vol. 180. Eindhoven: Proceedings of Machine Learning Research, 2022, pp. 85-95. ISSN 2640-3498.
    Detail

  • 2021

    ABATE Alessandro, ANDRIUSHCHENKO Roman, ČEŠKA Milan and KWIATKOWSKA Marta. Adaptive formal approximations of Markov chains. Performance Evaluation, vol. 148, no. 102207, 2021, pp. 1-23. ISSN 0166-5316.
    Detail

    ANDRIUSHCHENKO Roman, ČEŠKA Milan, JUNGES Sebastian and KATOEN Joost-Pieter. Inductive Synthesis for Probabilistic Programs Reaches New Horizons. In: International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS). Lecture Notes in Computer Science. Cham: Springer International Publishing, 2021, pp. 191-209. ISBN 978-3-030-72015-5.
    Detail

    ANDRIUSHCHENKO Roman, ČEŠKA Milan, JUNGES Sebastian, KATOEN Joost-Pieter and STUPINSKÝ Šimon. PAYNT: A Tool for Inductive Synthesis of Probabilistic Programs. In: International Conference on Computer Aided Verification (CAV). Lecture Notes in Computer Science, vol. 12759. Cham: Springer Verlag, 2021, pp. 856-869. ISBN 978-3-030-81684-1.
    Detail

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