Quantified linear and polynomial arithmetic satisfiability via template-based skolemization
K. Chatterjee, E. Goharshady, M. Karrabi, H.J. Motwani, M. Seeliger, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, pp. 11158–11166.

Neural control and certificate repair via runtime monitoring
E. Yu, D. Zikelic, T.A. Henzinger, in:, Proceedings of the 39th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, pp. 26409–26417.

Refuting equivalence in probabilistic programs with conditioning
K. Chatterjee, E. Goharshady, P. Novotný, D. Zikelic, in:, 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2025, pp. 279–300.

Supermartingale certificates for quantitative omega-regular verification and control
T.A. Henzinger, K. Mallik, P. Sadeghi, D. Zikelic, in:, 37th International Conference on Computer Aided Verification, Springer Nature, 2025, pp. 29–55.

Predictive monitoring of black-box dynamical systems
T.A. Henzinger, F. Kresse, K. Mallik, E. Yu, D. Zikelic, in:, 7th Annual Learning for Dynamics &; Control Conference, ML Research Press, 2025, pp. 804–816.

Certified policy verification and synthesis for MDPs under distributional reach-avoidance properties
S. Akshay, K. Chatterjee, T. Meggendorfer, D. Zikelic, in:, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2024, pp. 3–12.

Solving long-run average reward robust MDPs via stochastic games
K. Chatterjee, E. Goharshady, M. Karrabi, P. Novotný, D. Zikelic, in:, 33rd International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2024, pp. 6707–6715.

Fully automated selfish mining analysis in efficient proof systems blockchains
K. Chatterjee, A. Ebrahimzadeh, M. Karrabi, K.Z. Pietrzak, M.X. Yeo, D. Zikelic, in:,  Proceedings of the 43rd Annual ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2024, pp. 268–278.

Quantitative bounds on resource usage of probabilistic programs
K. Chatterjee, A.K. Goharshady, T. Meggendorfer, D. Zikelic, Proceedings of the ACM on Programming Languages 8 (2024).

Equivalence and similarity refutation for probabilistic programs
K. Chatterjee, E. Goharshady, P. Novotný, D. Zikelic, Proceedings of the ACM on Programming Languages 8 (2024).

Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
K. Chatterjee, A.K. Goharshady, E. Goharshady, M. Karrabi, D. Zikelic, in:, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, 2024, pp. 600–619.

Compositional policy learning in stochastic control systems with formal guarantees
D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, T.A. Henzinger, in:, 37th Conference on Neural Information Processing Systems, 2023.

Quantization-aware interval bound propagation for training certifiably robust quantized neural networks
M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–14973.

Reachability poorman discrete-bidding games
G. Avni, T. Meggendorfer, S. Sadhukhan, J. Tkadlec, D. Zikelic, in:, Frontiers in Artificial Intelligence and Applications, IOS Press, 2023, pp. 141–148.

Bidding graph games with partially-observable budgets
G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023, pp. 5464–5471.

Learning control policies for stochastic systems with reach-avoid guarantees
D. Zikelic, M. Lechner, T.A. Henzinger, K. Chatterjee, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 11926–11935.

Automated verification and control of infinite state stochastic systems
D. Zikelic, Automated Verification and Control of Infinite State Stochastic Systems, Institute of Science and Technology Austria, 2023.

A learner-verifier framework for neural network controllers and certificates of stochastic systems
K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:, Tools and Algorithms for the Construction and Analysis of Systems , Springer Nature, 2023, pp. 3–25.

MDPs as distribution transformers: Affine invariant synthesis for safety objectives
S. Akshay, K. Chatterjee, T. Meggendorfer, D. Zikelic, in:, International Conference on Computer Aided Verification, Springer Nature, 2023, pp. 86–112.

Learning provably stabilizing neural controllers for discrete-time stochastic systems
M. Ansaripour, K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:, 21st International Symposium on Automated Technology for Verification and Analysis, Springer Nature, 2023, pp. 357–379.