Djordje Zikelic

Graduate School
Chatterjee Group

23 Publications

Mark all

[23]
2023 | Conference Paper | IST-REx-ID: 13142 | OA
K. Chatterjee, T. A. Henzinger, M. Lechner, and D. Zikelic, “A learner-verifier framework for neural network controllers and certificates of stochastic systems,” in Tools and Algorithms for the Construction and Analysis of Systems , Paris, France, 2023, vol. 13993, pp. 3–25.
[Published Version] View | Files available | DOI
 
[22]
2023 | Conference Paper | IST-REx-ID: 14242 | OA
M. Lechner, D. Zikelic, K. Chatterjee, T. A. Henzinger, and D. Rus, “Quantization-aware interval bound propagation for training certifiably robust quantized neural networks,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 12, pp. 14964–14973.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2023 | Conference Paper | IST-REx-ID: 14243 | OA
G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable budgets,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[20]
2023 | Conference Paper | IST-REx-ID: 14317 | OA
S. Akshay, K. Chatterjee, T. Meggendorfer, and D. Zikelic, “MDPs as distribution transformers: Affine invariant synthesis for safety objectives,” in International Conference on Computer Aided Verification, Paris, France, 2023, vol. 13966, pp. 86–112.
[Published Version] View | Files available | DOI
 
[19]
2023 | Conference Paper | IST-REx-ID: 14518 | OA
G. Avni, T. Meggendorfer, S. Sadhukhan, J. Tkadlec, and D. Zikelic, “Reachability poorman discrete-bidding games,” in Frontiers in Artificial Intelligence and Applications, Krakow, Poland, 2023, vol. 372, pp. 141–148.
[Published Version] View | Files available | DOI | arXiv
 
[18]
2023 | Conference Paper | IST-REx-ID: 14559
M. Ansaripour, K. Chatterjee, T. A. Henzinger, M. Lechner, and D. Zikelic, “Learning provably stabilizing neural controllers for discrete-time stochastic systems,” in 21st International Symposium on Automated Technology for Verification and Analysis, Singapore, Singapore, 2023, vol. 14215, pp. 357–379.
View | DOI
 
[17]
2023 | Thesis | IST-REx-ID: 14539 | OA
D. Zikelic, “Automated verification and control of infinite state stochastic systems,” Institute of Science and Technology Austria, 2023.
[Published Version] View | Files available | DOI
 
[16]
2023 | Journal Article | IST-REx-ID: 14778 | OA
K. Chatterjee, E. Kafshdar Goharshady, P. Novotný, J. Zárevúcky, and D. Zikelic, “On lexicographic proof rules for probabilistic termination,” Formal Aspects of Computing, vol. 35, no. 2. Association for Computing Machinery, 2023.
[Published Version] View | Files available | DOI | arXiv
 
[15]
2023 | Conference Paper | IST-REx-ID: 14830
D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 10, pp. 11926–11935.
[Preprint] View | Files available | DOI | arXiv
 
[14]
2023 | Conference Paper | IST-REx-ID: 15023 | OA
D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, and T. A. Henzinger, “Compositional policy learning in stochastic control systems with formal guarantees,” in 37th Conference on Neural Information Processing Systems, New Orleans, LO, United States, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[13]
2022 | Conference Paper | IST-REx-ID: 12102 | OA
A. Ahmadi, K. Chatterjee, A. K. Goharshady, T. Meggendorfer, R. Safavi Hemami, and D. Zikelic, “Algorithms and hardness results for computing cores of Markov chains,” in 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, Madras, India, 2022, vol. 250.
[Published Version] View | Files available | DOI
 
[12]
2022 | Conference Paper | IST-REx-ID: 11459 | OA
D. Zikelic, B.-Y. E. Chang, P. Bolignano, and F. Raimondi, “Differential cost analysis with simultaneous potentials and anti-potentials,” in Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, United States, 2022, pp. 442–457.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[11]
2022 | Journal Article | IST-REx-ID: 12257 | OA
K. Chatterjee, J. Svoboda, D. Zikelic, A. Pavlogiannis, and J. Tkadlec, “Social balance on networks: Local minima and best-edge dynamics,” Physical Review E, vol. 106, no. 3. American Physical Society, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[10]
2022 | Conference Paper | IST-REx-ID: 12000 | OA
K. Chatterjee, A. K. Goharshady, T. Meggendorfer, and D. Zikelic, “Sound and complete certificates for auantitative termination analysis of probabilistic programs,” in Proceedings of the 34th International Conference on Computer Aided Verification, Haifa, Israel, 2022, vol. 13371, pp. 55–78.
[Published Version] View | Files available | DOI | WoS
 
[9]
2022 | Journal Article | IST-REx-ID: 12511 | OA
M. Lechner, D. Zikelic, K. Chatterjee, and T. A. Henzinger, “Stability verification in stochastic control systems via neural network supermartingales,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7. Association for the Advancement of Artificial Intelligence, pp. 7326–7336, 2022.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[8]
2022 | Preprint | IST-REx-ID: 14601 | OA
D. Zikelic, M. Lechner, K. Chatterjee, and T. A. Henzinger, “Learning stabilizing policies in stochastic control systems,” arXiv. .
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[7]
2022 | Preprint | IST-REx-ID: 14600 | OA
D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” arXiv. .
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[6]
2021 | Conference Paper | IST-REx-ID: 10694 | OA
G. Avni, I. R. Jecker, and D. Zikelic, “Infinite-duration all-pay bidding games,” in Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, Virtual, 2021, pp. 617–636.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[5]
2021 | Conference Paper | IST-REx-ID: 10665 | OA
T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[4]
2021 | Conference Paper | IST-REx-ID: 10414 | OA
K. Chatterjee, E. K. Goharshady, P. Novotný, J. Zárevúcky, and D. Zikelic, “On lexicographic proof rules for probabilistic termination,” in 24th International Symposium on Formal Methods, Virtual, 2021, vol. 13047, pp. 619–639.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[3]
2021 | Conference Paper | IST-REx-ID: 9644 | OA
K. Chatterjee, E. K. Goharshady, P. Novotný, and D. Zikelic, “Proving non-termination by program reversal,” in Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Online, 2021, pp. 1033–1048.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Research Data Reference | IST-REx-ID: 15284 | OA
K. Chatterjee, A. K. Goharshady, P. Novotný, and D. Zikelic, “RevTerm.” Association for Computing Machinery, 2021.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[1]
2019 | Conference Paper | IST-REx-ID: 6884 | OA
G. Avni, T. A. Henzinger, and D. Zikelic, “Bidding mechanisms in graph games,” presented at the MFCS: nternational Symposium on Mathematical Foundations of Computer Science, Aachen, Germany, 2019, vol. 138.
[Published Version] View | Files available | DOI | arXiv
 
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23 Publications

Mark all

[23]
2023 | Conference Paper | IST-REx-ID: 13142 | OA
K. Chatterjee, T. A. Henzinger, M. Lechner, and D. Zikelic, “A learner-verifier framework for neural network controllers and certificates of stochastic systems,” in Tools and Algorithms for the Construction and Analysis of Systems , Paris, France, 2023, vol. 13993, pp. 3–25.
[Published Version] View | Files available | DOI
 
[22]
2023 | Conference Paper | IST-REx-ID: 14242 | OA
M. Lechner, D. Zikelic, K. Chatterjee, T. A. Henzinger, and D. Rus, “Quantization-aware interval bound propagation for training certifiably robust quantized neural networks,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 12, pp. 14964–14973.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2023 | Conference Paper | IST-REx-ID: 14243 | OA
G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable budgets,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[20]
2023 | Conference Paper | IST-REx-ID: 14317 | OA
S. Akshay, K. Chatterjee, T. Meggendorfer, and D. Zikelic, “MDPs as distribution transformers: Affine invariant synthesis for safety objectives,” in International Conference on Computer Aided Verification, Paris, France, 2023, vol. 13966, pp. 86–112.
[Published Version] View | Files available | DOI
 
[19]
2023 | Conference Paper | IST-REx-ID: 14518 | OA
G. Avni, T. Meggendorfer, S. Sadhukhan, J. Tkadlec, and D. Zikelic, “Reachability poorman discrete-bidding games,” in Frontiers in Artificial Intelligence and Applications, Krakow, Poland, 2023, vol. 372, pp. 141–148.
[Published Version] View | Files available | DOI | arXiv
 
[18]
2023 | Conference Paper | IST-REx-ID: 14559
M. Ansaripour, K. Chatterjee, T. A. Henzinger, M. Lechner, and D. Zikelic, “Learning provably stabilizing neural controllers for discrete-time stochastic systems,” in 21st International Symposium on Automated Technology for Verification and Analysis, Singapore, Singapore, 2023, vol. 14215, pp. 357–379.
View | DOI
 
[17]
2023 | Thesis | IST-REx-ID: 14539 | OA
D. Zikelic, “Automated verification and control of infinite state stochastic systems,” Institute of Science and Technology Austria, 2023.
[Published Version] View | Files available | DOI
 
[16]
2023 | Journal Article | IST-REx-ID: 14778 | OA
K. Chatterjee, E. Kafshdar Goharshady, P. Novotný, J. Zárevúcky, and D. Zikelic, “On lexicographic proof rules for probabilistic termination,” Formal Aspects of Computing, vol. 35, no. 2. Association for Computing Machinery, 2023.
[Published Version] View | Files available | DOI | arXiv
 
[15]
2023 | Conference Paper | IST-REx-ID: 14830
D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United States, 2023, vol. 37, no. 10, pp. 11926–11935.
[Preprint] View | Files available | DOI | arXiv
 
[14]
2023 | Conference Paper | IST-REx-ID: 15023 | OA
D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, and T. A. Henzinger, “Compositional policy learning in stochastic control systems with formal guarantees,” in 37th Conference on Neural Information Processing Systems, New Orleans, LO, United States, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[13]
2022 | Conference Paper | IST-REx-ID: 12102 | OA
A. Ahmadi, K. Chatterjee, A. K. Goharshady, T. Meggendorfer, R. Safavi Hemami, and D. Zikelic, “Algorithms and hardness results for computing cores of Markov chains,” in 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, Madras, India, 2022, vol. 250.
[Published Version] View | Files available | DOI
 
[12]
2022 | Conference Paper | IST-REx-ID: 11459 | OA
D. Zikelic, B.-Y. E. Chang, P. Bolignano, and F. Raimondi, “Differential cost analysis with simultaneous potentials and anti-potentials,” in Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, United States, 2022, pp. 442–457.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[11]
2022 | Journal Article | IST-REx-ID: 12257 | OA
K. Chatterjee, J. Svoboda, D. Zikelic, A. Pavlogiannis, and J. Tkadlec, “Social balance on networks: Local minima and best-edge dynamics,” Physical Review E, vol. 106, no. 3. American Physical Society, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[10]
2022 | Conference Paper | IST-REx-ID: 12000 | OA
K. Chatterjee, A. K. Goharshady, T. Meggendorfer, and D. Zikelic, “Sound and complete certificates for auantitative termination analysis of probabilistic programs,” in Proceedings of the 34th International Conference on Computer Aided Verification, Haifa, Israel, 2022, vol. 13371, pp. 55–78.
[Published Version] View | Files available | DOI | WoS
 
[9]
2022 | Journal Article | IST-REx-ID: 12511 | OA
M. Lechner, D. Zikelic, K. Chatterjee, and T. A. Henzinger, “Stability verification in stochastic control systems via neural network supermartingales,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7. Association for the Advancement of Artificial Intelligence, pp. 7326–7336, 2022.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[8]
2022 | Preprint | IST-REx-ID: 14601 | OA
D. Zikelic, M. Lechner, K. Chatterjee, and T. A. Henzinger, “Learning stabilizing policies in stochastic control systems,” arXiv. .
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[7]
2022 | Preprint | IST-REx-ID: 14600 | OA
D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” arXiv. .
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[6]
2021 | Conference Paper | IST-REx-ID: 10694 | OA
G. Avni, I. R. Jecker, and D. Zikelic, “Infinite-duration all-pay bidding games,” in Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, Virtual, 2021, pp. 617–636.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[5]
2021 | Conference Paper | IST-REx-ID: 10665 | OA
T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[4]
2021 | Conference Paper | IST-REx-ID: 10414 | OA
K. Chatterjee, E. K. Goharshady, P. Novotný, J. Zárevúcky, and D. Zikelic, “On lexicographic proof rules for probabilistic termination,” in 24th International Symposium on Formal Methods, Virtual, 2021, vol. 13047, pp. 619–639.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[3]
2021 | Conference Paper | IST-REx-ID: 9644 | OA
K. Chatterjee, E. K. Goharshady, P. Novotný, and D. Zikelic, “Proving non-termination by program reversal,” in Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Online, 2021, pp. 1033–1048.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Research Data Reference | IST-REx-ID: 15284 | OA
K. Chatterjee, A. K. Goharshady, P. Novotný, and D. Zikelic, “RevTerm.” Association for Computing Machinery, 2021.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
[1]
2019 | Conference Paper | IST-REx-ID: 6884 | OA
G. Avni, T. A. Henzinger, and D. Zikelic, “Bidding mechanisms in graph games,” presented at the MFCS: nternational Symposium on Mathematical Foundations of Computer Science, Aachen, Germany, 2019, vol. 138.
[Published Version] View | Files available | DOI | arXiv
 
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    Citation Style: IEEE

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