Wissenschaftliche Artikel

Kofnov, A., Bartocci, E., & Bura, E. (2025). Moment-based Density Elicitation with Applications in Probabilistic Loops. ACM Transactions on Probabilistic Machine Learning. https://doi.org/10.1145/3728648 ( reposiTUm)
Kofnov, A., Moosbrugger, M., Stankovic, M., Bartocci, E., & Bura, E. (2024). Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments. ACM Transactions on Modeling and Computer Simulation, 34(3), Article 18. https://doi.org/10.1145/3641545 ( reposiTUm)
Amrollahi, D., Bartocci, E., Kenison, G. J., Kovacs, L., Moosbrugger, M., & Stankovic, M. (2024). (Un)Solvable loop analysis. Formal Methods in System Design. https://doi.org/10.1007/s10703-024-00455-0 ( reposiTUm)
Chiari, M., Mandrioli, D., Pontiggia, F., & Pradella, M. (2023). A model checker for operator precedence languages. ACM Transactions on Programming Languages and Systems, 45(3), 1–66. https://doi.org/10.1145/3608443 ( reposiTUm)
Song, M., Bura, E., Parzer, R., & Pfeiffer, R. (2023). Structured time-dependent inverse regression (STIR). Statistics in Medicine. https://doi.org/10.1002/sim.9670 ( reposiTUm)
Fertl, L., & Bura, E. (2022). The ensemble conditional variance estimator for sufficient dimension reduction. Electronic Journal of Statistics, 16(1), 1595–1634. https://doi.org/10.1214/22-EJS1994 ( reposiTUm)
Humenberger, A., Amrollahi, D., Bjørner, N., & Kovács, L. (2022). Algebra-Based Reasoning for Loop Synthesis. Formal Aspects of Computing, 34(1), 4:31. https://doi.org/10.1145/3527458 ( reposiTUm)
Brune, B., Scherrer, W., & Bura, E. (2022). A state-space approach to time-varying reduced-rank regression. Econometric Reviews, 41(8), 895–917. https://doi.org/10.1080/07474938.2022.2073743 ( reposiTUm)
Moosbrugger, M., Bartocci, E., Katoen, J.-P., & Kovacs, L. (2022). The probabilistic termination tool amber. Formal Methods in System Design, 61(1), 90–109. https://doi.org/10.1007/s10703-023-00424-z ( reposiTUm)

Beiträge in Tagungsbänden

Ait El Manssour, R., Kenison, G., Shirmohammadi, M., & Varonka, A. (2025). Simple Linear Loops: Algebraic Invariants and Applications. In M. Hicks (Ed.), Proceedings of the ACM on Programming Languages (pp. 745–771). Association for Computing Machinery. https://doi.org/10.1145/3704862 ( reposiTUm)
Bartocci, E. (2024). Quantifying Uncertainty in Probabilistic Loops Without Sampling: A Fully Automated Approach. In L. Kovacs & A. Sokolova (Eds.), Reachability Problems (pp. 3–8). Springer. https://doi.org/10.1007/978-3-031-72621-7_1 ( reposiTUm)
Stankovic, M., & Bartocci, E. (2024). Probabilistic Loop Synthesis from Sequences of Moments. In J. Hillston, S. Soudjani, & M. Waga (Eds.), Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed Systems (pp. 233–248). https://doi.org/10.1007/978-3-031-68416-6_14 ( reposiTUm)
Bartocci, E., & Essbai, W. (2024). A Comparison of Monitoring Techniques for Deep Neural Networks. In Bridging the Gap Between AI and Reality : Second International Conference, AISoLA 2024, Crete, Greece, October 30 – November 3, 2024, Proceedings. AISoLA 2024: International Conference on Bridging the Gap between AI and Reality, Kreta, Greece. https://doi.org/10.1007/978-3-031-75434-0_13 ( reposiTUm)
Bartocci, E. (2024). The PROBING Project: Advancing Automatic Analysis of Probabilistic Loops. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. REoCAS Colloquium in Honor of Rocce De Nicola (pp. 152–167). Springer. https://doi.org/10.1007/978-3-031-73709-1_10 ( reposiTUm)
Hitarth, S., Kenison, G. J., Kovacs, L., & Varonka, A. (2024). Linear Loop Synthesis for Quadratic Invariants. In O. Beyersdorff, M. M. Kanté, O. Kupferman, & D. Lokshtanov (Eds.), 41st International Symposium on Theoretical Aspects of Computer Science (STACS 2024). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.STACS.2024.41 ( reposiTUm)
Athavale, A., Bartocci, E., Christakis, M., Maffei, M., Ničković, D., & Weissenbacher, G. (2024). Verifying Global Two-Safety Properties in Neural Networks with Confidence. In A. Gurfinkel & V. Ganesh (Eds.), Computer Aided Verification (pp. 329–351). Springer. https://doi.org/10.1007/978-3-031-65630-9_17 ( reposiTUm)
Kenison, G. J., Kovacs, L., & Varonka, A. (2023). From Polynomial Invariants to Linear Loops. In A. Dickenstein, E. Tsigaridas, & G. Jeronimo (Eds.), ISSAC ’23: Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation (pp. 398–406). Association for Computing Machinery. https://doi.org/10.1145/3597066.3597109 ( reposiTUm)
Kenison, G., Nieuwveld, J., Ouaknine, J., & Worrell, J. (2023). Positivity Problems for Reversible Linear Recurrence Sequences. In K. Etessami, U. Feige, & G. Puppis (Eds.), 50th International Colloquium on Automata, Languages, and Programming (ICALP 2023) (pp. 1–17). Schloss Dagstuhl -- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ICALP.2023.130 ( reposiTUm)
Garlich, L., Dobe, O., Ábrahám, E., Bartocci, E., & Bonakdarpour, B. (2023). Introducing Asynchronicity to Probabilistic Hyperproperties. In N. Jansen & M. Tribastone (Eds.), Quantitative Evaluation of Systems : 20th International Conference, QEST 2023, Antwerp, Belgium, September 20–22, 2023, Proceedings (pp. 47–64). IEEE. https://doi.org/10.1007/978-3-031-43835-6_4 ( reposiTUm)
Kovács, L. (2023). Algebra-Based Loop Analysis. In A. Dickenstein, E. Tsigaridas, & G. Jeronimo (Eds.), ISSAC ’23: Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation (pp. 41–42). Association for Computing Machinery. https://doi.org/10.1145/3597066.3597150 ( reposiTUm)
Kovács, L. (2023). Symbolic Computation in Automated Program Reasoning. In M. Chechik, J.-P. Katoen, & M. Leucker (Eds.), Formal Methods : 25th International Symposium, FM 2023, Lübeck, Germany, March 6–10, 2023, Proceedings (pp. 3–9). Springer. https://doi.org/10.1007/978-3-031-27481-7_1 ( reposiTUm)
Andriushchenko, R., Bartocci, E., Češka, M., Pontiggia, F., & Sallinger, S. S. (2023). Deductive Controller Synthesis for Probabilistic Hyperproperties. In N. Jansen & M. Tribastone (Eds.), Quantitative Evaluation of Systems - 20th International Conference, QEST 2023 (pp. 47–64). Springer. https://doi.org/10.1007/978-3-031-43835-6_20 ( reposiTUm)
Aguilar, E. A., Bartocci, E., Mateis, C., Nesterini, E., & Nickovic, D. (2023). Mining Specification Parameters for Multi-class Classification. In P. Katsaros & L. Nenzi (Eds.), Runtime Verification : 23rd International Conference, RV 2023, Thessaloniki, Greece, October 3–6, 2023, Proceedings (pp. 86–105). Springer. https://doi.org/10.1007/978-3-031-44267-4_5 ( reposiTUm)
Kovács, L., & Varonka, A. (2023). What Else is Undecidable About Loops? In R. Glück, L. Santocanale, & M. Winter (Eds.), Relational and Algebraic Methods in Computer Science. RAMiCS 2023 (pp. 176–193). Springer. https://doi.org/10.1007/978-3-031-28083-2_11 ( reposiTUm)
Kovacs, L. (2023). Algebraic Reasoning for (Un)Solvable Loops (Invited Talk). In J. Leroux, S. Lombardy, & D. Peleg (Eds.), 48th International Symposium on Mathematical Foundations of Computer Science (MFCS 2023) (pp. 4:1-4:2). Schloss-Dagstuhl - Leibniz Zentrum für Informatik. https://doi.org/10.4230/LIPICS.MFCS.2023.4 ( reposiTUm)
Kenison, G., Nosan, K., Shirmohammadi, M., & Worrell, J. (2023). The Membership Problem for Hypergeometric Sequences with Quadratic Parameters. In A. Dickenstein, E. Tsigaridas, & G. Jeronimo (Eds.), ISSAC ’23: Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation (pp. 407–416). Association for Computing Machinery. https://doi.org/10.1145/3597066.3597121 ( reposiTUm)
Kenison, G. (2022). On the Skolem Problem for Reversible Sequences. In 47th International Symposium on Mathematical Foundations of Computer Science (MFCS 2022) (pp. 61:1-61:15). Schloss Dagstuhl -- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.MFCS.2022.61 ( reposiTUm)
Karimi, A., Moosbrugger, M., Stankovič, M., Kovács, L., Bartocci, E., & Bura, E. (2022). Distribution Estimation for Probabilistic Loops. In E. Ábrahám & M. Paolieri (Eds.), Quantitative Evaluation of Systems (pp. 26–42). Springer-Verlag. https://doi.org/10.1007/978-3-031-16336-4_2 ( reposiTUm)
Kofnov, A., Moosbrugger, M., Stankovič, M., Bartocci, E., & Bura, E. (2022). Moment-Based Invariants for Probabilistic Loops with Non-polynomial Assignments. In E. Ábrahám & M. Paolieri (Eds.), Quantitative Evaluation of Systems (pp. 3–25). Springer. https://doi.org/10.1007/978-3-031-16336-4_1 ( reposiTUm)
Kenison, G. J., Klurman, O., Lefaucheux, E., Luca, F., Moree, P., Ouaknine, J., Whiteland, M., & Worrell, J. (2021). On Positivity and Minimality for Second-Order Holonomic Sequences. In F. Bonchi & S. Puglisi (Eds.), 46th International Symposium on Mathematical Foundations of Computer Science (MFCS 2021) (pp. 1–15). Schloss Dagstuhl -- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.MFCS.2021.67 ( reposiTUm)

Beiträge in Büchern

Bartocci, E., Desharnais, J., Lindner, P., & Sokolova, A. (2025). A Probabilistic Analysis of Simplified Cluedo with Storm: The Birthday Cake Case. In N. Jansen, S. Junges, B. L. Kaminski, C. Matheja, T. Noll, T. Quatmann, M. Stoelinga, & M. Volk (Eds.), Principles of Verification: Cycling the Probabilistic Landscape (Vol. 15261, pp. 75–97). Springer. https://doi.org/10.1007/978-3-031-75775-4_4 ( reposiTUm)
Moosbrugger, M., Müllner, J., Bartocci, E., & Kovacs, L. (2025). Polar: An Algebraic Analyzer for (Probabilistic) Loops. In Principles of Verification: Cycling the Probabilistic Landscape (Vol. 15260, pp. 179–200). https://doi.org/10.1007/978-3-031-75783-9_8 ( reposiTUm)

Präsentationen

Ait El Manssour, R., Kenison, G. J., Shirmohammadi, M., & Varonka, A. (2024, September 19). Simple Linear Loops: Algebraic Invariants and Synthesis [Presentation]. 18th International Conference on Reachability Problems (RP 2024), Wien, Austria. https://doi.org/10.1007/978-3-031-72621-7 ( reposiTUm)