Djordje Zikelic

Graduate School
Chatterjee Group

23 Publications

Mark all

[23]
2023 | Conference Paper | IST-REx-ID: 13142 | OA
Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). A learner-verifier framework for neural network controllers and certificates of stochastic systems. In Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13993, pp. 3–25). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30823-9_1
[Published Version] View | Files available | DOI
 
[22]
2023 | Conference Paper | IST-REx-ID: 14242 | OA
Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., & Rus, D. (2023). Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 14964–14973). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i12.26747
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2023 | Conference Paper | IST-REx-ID: 14243 | OA
Avni, G., Jecker, I. R., & Zikelic, D. (2023). Bidding graph games with partially-observable budgets. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 5464–5471). Washington, DC, United States. https://doi.org/10.1609/aaai.v37i5.25679
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[20]
2023 | Conference Paper | IST-REx-ID: 14317 | OA
Akshay, S., Chatterjee, K., Meggendorfer, T., & Zikelic, D. (2023). MDPs as distribution transformers: Affine invariant synthesis for safety objectives. In International Conference on Computer Aided Verification (Vol. 13966, pp. 86–112). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37709-9_5
[Published Version] View | Files available | DOI
 
[19]
2023 | Conference Paper | IST-REx-ID: 14518 | OA
Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., & Zikelic, D. (2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS Press. https://doi.org/10.3233/FAIA230264
[Published Version] View | Files available | DOI | arXiv
 
[18]
2023 | Conference Paper | IST-REx-ID: 14559
Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). Learning provably stabilizing neural controllers for discrete-time stochastic systems. In 21st International Symposium on Automated Technology for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore: Springer Nature. https://doi.org/10.1007/978-3-031-45329-8_17
View | DOI
 
[17]
2023 | Thesis | IST-REx-ID: 14539 | OA
Zikelic, D. (2023). Automated verification and control of infinite state stochastic systems. Institute of Science and Technology Austria. https://doi.org/10.15479/14539
[Published Version] View | Files available | DOI
 
[16]
2023 | Journal Article | IST-REx-ID: 14778 | OA
Chatterjee, K., Kafshdar Goharshady, E., Novotný, P., Zárevúcky, J., & Zikelic, D. (2023). On lexicographic proof rules for probabilistic termination. Formal Aspects of Computing. Association for Computing Machinery. https://doi.org/10.1145/3585391
[Published Version] View | Files available | DOI | arXiv
 
[15]
2023 | Conference Paper | IST-REx-ID: 14830
Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (2023). Learning control policies for stochastic systems with reach-avoid guarantees. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 11926–11935). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i10.26407
[Preprint] View | Files available | DOI | arXiv
 
[14]
2023 | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., & Henzinger, T. A. (2023). Compositional policy learning in stochastic control systems with formal guarantees. In 37th Conference on Neural Information Processing Systems. New Orleans, LO, United States.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[13]
2022 | Conference Paper | IST-REx-ID: 12102 | OA
Ahmadi, A., Chatterjee, K., Goharshady, A. K., Meggendorfer, T., Safavi Hemami, R., & Zikelic, D. (2022). Algorithms and hardness results for computing cores of Markov chains. In 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (Vol. 250). Madras, India: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FSTTCS.2022.29
[Published Version] View | Files available | DOI
 
[12]
2022 | Conference Paper | IST-REx-ID: 11459 | OA
Zikelic, D., Chang, B.-Y. E., Bolignano, P., & Raimondi, F. (2022). Differential cost analysis with simultaneous potentials and anti-potentials. In Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 442–457). San Diego, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3519939.3523435
[Published Version] View | Files available | DOI | WoS | arXiv
 
[11]
2022 | Journal Article | IST-REx-ID: 12257 | OA
Chatterjee, K., Svoboda, J., Zikelic, D., Pavlogiannis, A., & Tkadlec, J. (2022). Social balance on networks: Local minima and best-edge dynamics. Physical Review E. American Physical Society. https://doi.org/10.1103/physreve.106.034321
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[10]
2022 | Conference Paper | IST-REx-ID: 12000 | OA
Chatterjee, K., Goharshady, A. K., Meggendorfer, T., & Zikelic, D. (2022). Sound and complete certificates for auantitative termination analysis of probabilistic programs. In Proceedings of the 34th International Conference on Computer Aided Verification (Vol. 13371, pp. 55–78). Haifa, Israel: Springer. https://doi.org/10.1007/978-3-031-13185-1_4
[Published Version] View | Files available | DOI | WoS
 
[9]
2022 | Journal Article | IST-REx-ID: 12511 | OA
Lechner, M., Zikelic, D., Chatterjee, K., & Henzinger, T. A. (2022). Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i7.20695
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[8]
2022 | Preprint | IST-REx-ID: 14601 | OA
Zikelic, D., Lechner, M., Chatterjee, K., & Henzinger, T. A. (n.d.). Learning stabilizing policies in stochastic control systems. arXiv. https://doi.org/10.48550/arXiv.2205.11991
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[7]
2022 | Preprint | IST-REx-ID: 14600 | OA
Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (n.d.). Learning control policies for stochastic systems with reach-avoid guarantees. arXiv. https://doi.org/10.48550/ARXIV.2210.05308
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[6]
2021 | Conference Paper | IST-REx-ID: 10694 | OA
Avni, G., Jecker, I. R., & Zikelic, D. (2021). Infinite-duration all-pay bidding games. In D. Marx (Ed.), Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (pp. 617–636). Virtual: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611976465.38
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[5]
2021 | Conference Paper | IST-REx-ID: 10665 | OA
Henzinger, T. A., Lechner, M., & Zikelic, D. (2021). Scalable verification of quantized neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 3787–3795). Virtual: AAAI Press.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[4]
2021 | Conference Paper | IST-REx-ID: 10414 | OA
Chatterjee, K., Goharshady, E. K., Novotný, P., Zárevúcky, J., & Zikelic, D. (2021). On lexicographic proof rules for probabilistic termination. In 24th International Symposium on Formal Methods (Vol. 13047, pp. 619–639). Virtual: Springer Nature. https://doi.org/10.1007/978-3-030-90870-6_33
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[3]
2021 | Conference Paper | IST-REx-ID: 9644 | OA
Chatterjee, K., Goharshady, E. K., Novotný, P., & Zikelic, D. (2021). Proving non-termination by program reversal. In Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 1033–1048). Online: Association for Computing Machinery. https://doi.org/10.1145/3453483.3454093
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Research Data Reference | IST-REx-ID: 15284 | OA
Chatterjee, K., Goharshady, A. K., Novotný, P., & Zikelic, D. (2021). RevTerm. Association for Computing Machinery. https://doi.org/10.1145/3410304
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[1]
2019 | Conference Paper | IST-REx-ID: 6884 | OA
Avni, G., Henzinger, T. A., & Zikelic, D. (2019). Bidding mechanisms in graph games (Vol. 138). Presented at the MFCS: nternational Symposium on Mathematical Foundations of Computer Science, Aachen, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.MFCS.2019.11
[Published Version] View | Files available | DOI | arXiv
 
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23 Publications

Mark all

[23]
2023 | Conference Paper | IST-REx-ID: 13142 | OA
Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). A learner-verifier framework for neural network controllers and certificates of stochastic systems. In Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13993, pp. 3–25). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30823-9_1
[Published Version] View | Files available | DOI
 
[22]
2023 | Conference Paper | IST-REx-ID: 14242 | OA
Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., & Rus, D. (2023). Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 14964–14973). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i12.26747
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2023 | Conference Paper | IST-REx-ID: 14243 | OA
Avni, G., Jecker, I. R., & Zikelic, D. (2023). Bidding graph games with partially-observable budgets. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 5464–5471). Washington, DC, United States. https://doi.org/10.1609/aaai.v37i5.25679
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[20]
2023 | Conference Paper | IST-REx-ID: 14317 | OA
Akshay, S., Chatterjee, K., Meggendorfer, T., & Zikelic, D. (2023). MDPs as distribution transformers: Affine invariant synthesis for safety objectives. In International Conference on Computer Aided Verification (Vol. 13966, pp. 86–112). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37709-9_5
[Published Version] View | Files available | DOI
 
[19]
2023 | Conference Paper | IST-REx-ID: 14518 | OA
Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., & Zikelic, D. (2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS Press. https://doi.org/10.3233/FAIA230264
[Published Version] View | Files available | DOI | arXiv
 
[18]
2023 | Conference Paper | IST-REx-ID: 14559
Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). Learning provably stabilizing neural controllers for discrete-time stochastic systems. In 21st International Symposium on Automated Technology for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore: Springer Nature. https://doi.org/10.1007/978-3-031-45329-8_17
View | DOI
 
[17]
2023 | Thesis | IST-REx-ID: 14539 | OA
Zikelic, D. (2023). Automated verification and control of infinite state stochastic systems. Institute of Science and Technology Austria. https://doi.org/10.15479/14539
[Published Version] View | Files available | DOI
 
[16]
2023 | Journal Article | IST-REx-ID: 14778 | OA
Chatterjee, K., Kafshdar Goharshady, E., Novotný, P., Zárevúcky, J., & Zikelic, D. (2023). On lexicographic proof rules for probabilistic termination. Formal Aspects of Computing. Association for Computing Machinery. https://doi.org/10.1145/3585391
[Published Version] View | Files available | DOI | arXiv
 
[15]
2023 | Conference Paper | IST-REx-ID: 14830
Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (2023). Learning control policies for stochastic systems with reach-avoid guarantees. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 11926–11935). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i10.26407
[Preprint] View | Files available | DOI | arXiv
 
[14]
2023 | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., & Henzinger, T. A. (2023). Compositional policy learning in stochastic control systems with formal guarantees. In 37th Conference on Neural Information Processing Systems. New Orleans, LO, United States.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[13]
2022 | Conference Paper | IST-REx-ID: 12102 | OA
Ahmadi, A., Chatterjee, K., Goharshady, A. K., Meggendorfer, T., Safavi Hemami, R., & Zikelic, D. (2022). Algorithms and hardness results for computing cores of Markov chains. In 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (Vol. 250). Madras, India: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FSTTCS.2022.29
[Published Version] View | Files available | DOI
 
[12]
2022 | Conference Paper | IST-REx-ID: 11459 | OA
Zikelic, D., Chang, B.-Y. E., Bolignano, P., & Raimondi, F. (2022). Differential cost analysis with simultaneous potentials and anti-potentials. In Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 442–457). San Diego, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3519939.3523435
[Published Version] View | Files available | DOI | WoS | arXiv
 
[11]
2022 | Journal Article | IST-REx-ID: 12257 | OA
Chatterjee, K., Svoboda, J., Zikelic, D., Pavlogiannis, A., & Tkadlec, J. (2022). Social balance on networks: Local minima and best-edge dynamics. Physical Review E. American Physical Society. https://doi.org/10.1103/physreve.106.034321
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[10]
2022 | Conference Paper | IST-REx-ID: 12000 | OA
Chatterjee, K., Goharshady, A. K., Meggendorfer, T., & Zikelic, D. (2022). Sound and complete certificates for auantitative termination analysis of probabilistic programs. In Proceedings of the 34th International Conference on Computer Aided Verification (Vol. 13371, pp. 55–78). Haifa, Israel: Springer. https://doi.org/10.1007/978-3-031-13185-1_4
[Published Version] View | Files available | DOI | WoS
 
[9]
2022 | Journal Article | IST-REx-ID: 12511 | OA
Lechner, M., Zikelic, D., Chatterjee, K., & Henzinger, T. A. (2022). Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i7.20695
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[8]
2022 | Preprint | IST-REx-ID: 14601 | OA
Zikelic, D., Lechner, M., Chatterjee, K., & Henzinger, T. A. (n.d.). Learning stabilizing policies in stochastic control systems. arXiv. https://doi.org/10.48550/arXiv.2205.11991
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[7]
2022 | Preprint | IST-REx-ID: 14600 | OA
Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (n.d.). Learning control policies for stochastic systems with reach-avoid guarantees. arXiv. https://doi.org/10.48550/ARXIV.2210.05308
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[6]
2021 | Conference Paper | IST-REx-ID: 10694 | OA
Avni, G., Jecker, I. R., & Zikelic, D. (2021). Infinite-duration all-pay bidding games. In D. Marx (Ed.), Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (pp. 617–636). Virtual: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611976465.38
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[5]
2021 | Conference Paper | IST-REx-ID: 10665 | OA
Henzinger, T. A., Lechner, M., & Zikelic, D. (2021). Scalable verification of quantized neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 3787–3795). Virtual: AAAI Press.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[4]
2021 | Conference Paper | IST-REx-ID: 10414 | OA
Chatterjee, K., Goharshady, E. K., Novotný, P., Zárevúcky, J., & Zikelic, D. (2021). On lexicographic proof rules for probabilistic termination. In 24th International Symposium on Formal Methods (Vol. 13047, pp. 619–639). Virtual: Springer Nature. https://doi.org/10.1007/978-3-030-90870-6_33
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[3]
2021 | Conference Paper | IST-REx-ID: 9644 | OA
Chatterjee, K., Goharshady, E. K., Novotný, P., & Zikelic, D. (2021). Proving non-termination by program reversal. In Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 1033–1048). Online: Association for Computing Machinery. https://doi.org/10.1145/3453483.3454093
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Research Data Reference | IST-REx-ID: 15284 | OA
Chatterjee, K., Goharshady, A. K., Novotný, P., & Zikelic, D. (2021). RevTerm. Association for Computing Machinery. https://doi.org/10.1145/3410304
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[1]
2019 | Conference Paper | IST-REx-ID: 6884 | OA
Avni, G., Henzinger, T. A., & Zikelic, D. (2019). Bidding mechanisms in graph games (Vol. 138). Presented at the MFCS: nternational Symposium on Mathematical Foundations of Computer Science, Aachen, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.MFCS.2019.11
[Published Version] View | Files available | DOI | arXiv
 
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