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Marcel Moosbrugger
Marcel Moosbrugger
Verified email at tuwien.ac.at - Homepage
Title
Cited by
Cited by
Year
Automated termination analysis of polynomial probabilistic programs
M Moosbrugger, E Bartocci, JP Katoen, L Kovács
European Symposium on Programming, 491-518, 2021
262021
This is the moment for probabilistic loops
M Moosbrugger, M Stankovič, E Bartocci, L Kovács
Proceedings of the ACM on Programming Languages 6 (OOPSLA2), 1497-1525, 2022
162022
Solving invariant generation for unsolvable loops
D Amrollahi, E Bartocci, G Kenison, L Kovács, M Moosbrugger, ...
International Static Analysis Symposium, 19-43, 2022
132022
The probabilistic termination tool amber
M Moosbrugger, E Bartocci, JP Katoen, L Kovács
International Symposium on Formal Methods, 667-675, 2021
82021
Moment-based invariants for probabilistic loops with non-polynomial assignments
A Kofnov, M Moosbrugger, M Stankovič, E Bartocci, E Bura
International Conference on Quantitative Evaluation of Systems, 3-25, 2022
62022
Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments
A Kofnov, M Moosbrugger, M Stankovič, E Bartocci, E Bura
ACM Transactions on Modeling and Computer Simulation, 2023
32023
Distribution estimation for probabilistic loops
A Karimi, M Moosbrugger, M Stankovič, L Kovács, E Bartocci, E Bura
International Conference on Quantitative Evaluation of Systems, 26-42, 2022
32022
Strong Invariants Are Hard: On the Hardness of Strongest Polynomial Invariants for (Probabilistic) Programs
J Müllner, M Moosbrugger, L Kovács
Proceedings of the ACM on Programming Languages 8 (POPL), 882-910, 2024
2024
Automated Sensitivity Analysis for Probabilistic Loops
M Moosbrugger, J Müllner, L Kovács
International Conference on Integrated Formal Methods, 21-39, 2023
2023
(Un) Solvable Loop Analysis
D Amrollahi, E Bartocci, G Kenison, L Kovács, M Moosbrugger, ...
arXiv preprint arXiv:2306.01597, 2023
2023
Automating termination analysis of probabilistic programs
M Moosbrugger
Wien, 2020
2020
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