Publications

2024
DOIFull Text Christopher Jan-Steffen Brix, Stanley Bak, Taylor T. Johnson, Haoze Wu. The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024), 102 pages, Universitätsbibliothek der RWTH Aachen, 2024.
Yejun Tang. Transfer of branching heuristics for neural network verification to alpha-beta-CROWN and evaluation of large-scale verification benchmarks, 2024.
Julia Walczak. Testing the applicability of robustness evaluation methods for neural networks on nonlinear real arithmetic problems using α-β-CROWN and foolbox, 2024.
Patrick Arens. MARVEL, 2024.
DOIFull Text Bahare Salmani Barzoki. Probabilistic model checking and parameter tuning for Bayesian networks, RWTH Aachen University, 2024.
DOIFull Text Kevin Batz. Automated deductive verification of probabilistic programs, RWTH Aachen University, 2024.
2023
DOIFull Text Lutz Klinkenberg, Tobias Winkler, Mingshuai Chen, Joost-Pieter Katoen. Exact Probabilistic Inference Using Generating Functions, 3 pages, 2023.
DOIFull Text Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja, Lena Verscht. A Calculus for Amortized Expected Runtimes, pages 67, ACM, 2023.
DOIFull Text Kevin Batz, Mingshuai Chen, Sebastian Junges, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja. Probabilistic Program Verification via Inductive Synthesis of Inductive Invariants, Volume 13994 of LNCS, pages 410-429, Springer, 2023.
DOIFull Text Shenghua Feng, Mingshuai Chen, Han Su, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Naijun Zhan. Lower Bounds for Possibly Divergent Probabilistic Programs, pages 99, ACM, 2023.
DOIFull Text Marcel Moosbrugger, Ezio Bartocci, Joost-Pieter Katoen, Laura Kovács. The probabilistic termination tool amber, pages 90-109, Springer, 2023.
DOIFull Text Christopher Jan-Steffen Brix, Mark Niklas Müller, Stanley Bak, Taylor T. Johnson, Changliu Liu. First three years of the international verification of neural networks competition (VNN-COMP), pages 329-339, Springer, 2023.
DOIFull Text Sascha Müller. Synthesizing FDIR recovery strategies for space systems, RWTH Aachen University, 2023.
DOIFull Text Roman Andriushchenko, Alexander Nikolai Bork, Milan Češka, Sebastian Junges, Joost-Pieter Katoen, Filip Macák. Search and Explore, Volume 13966 of LNCS, pages 113-135, Springer, 2023.
DOIFull Text Bahare Salmani Barzoki, Joost-Pieter Katoen. Automatically Finding the Right Probabilities in Bayesian Networks, pages 1637-1696, AI Access Found., 2023.
DOIFull Text Tim Quatmann. Verification of multi-objective Markov models, RWTH Aachen University, 2023.
DOI Arnd Hartmanns, Sebastian Junges, Tim Quatmann, Maximilian Weininger. A Practitioner’s Guide to MDP Model Checking Algorithms, Volume 13993 of LNCS, pages 469-488, Springer, 2023.
DOIFull Text . 22. Kolloquium Programmiersprachen und Grundlagen der Programmierung, Volume AIB-2023-03 of Aachener Informatik-Berichte, pages 1 Online-Ressource, RWTH Aachen University, Department of Computer Science, 2023.
DOIFull Text Tobias Winkler, Joost-Pieter Katoen. Certificates for Probabilistic Pushdown Automata via Optimistic Value Iteration, Volume 13994 of LNCS, pages 391-409, Springer, 2023.
DOI Tobias Winkler, Joost-Pieter Katoen. On Certificates, Expected Runtimes, and Termination in Probabilistic Pushdown Automata, 13 pages, IEEE, 2023.
DOIFull Text Philipp Schroer, Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja. A Deductive Verification Infrastructure for Probabilistic Programs, pages 294, ACM, 2023.
DOIFull Text Philipp Schroer, Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja. A Deductive Verification Infrastructure for Probabilistic Programs (Extended Version), pages 1-48, 2023.
Felix Faber. Comparison of symbolic maximal end component decomposition algorithms, 61 pages, 2023.
DOIFull Text Tobias Winkler, Christina Gehnen, Joost-Pieter Katoen. Model Checking Temporal Properties of Recursive Probabilistic Programs, pages 24, Department of Theoretical Computer Science, Technical University of Braunschweig, 2023.
Gergana Tropcheva. Strategy computation for a Markovian disease spread model, 2023.