Chatterjee, Krishnendu, et al. “A Learner-Verifier Framework for Neural Network Controllers and Certificates of Stochastic Systems.”10.1007/978-3-031-30823-9_1__Tools and Algorithms for the Construction and Analysis of Systems , vol. 13993, Springer Nature, 2023, pp. 3–25, doi:10.1007/978-3-031-30823-9_1.

Lechner, Mathias, et al. “Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks.”10.1609/aaai.v37i12.26747__Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 12, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–73, doi:10.1609/aaai.v37i12.26747.

Avni, Guy, et al. “Bidding Graph Games with Partially-Observable Budgets.”10.1609/aaai.v37i5.25679__Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 5, 2023, pp. 5464–71, doi:10.1609/aaai.v37i5.25679.

Akshay, S., et al. “MDPs as Distribution Transformers: Affine Invariant Synthesis for Safety Objectives.”10.1007/978-3-031-37709-9_5__International Conference on Computer Aided Verification, vol. 13966, Springer Nature, 2023, pp. 86–112, doi:10.1007/978-3-031-37709-9_5.

Avni, Guy, et al. “Reachability Poorman Discrete-Bidding Games.”10.3233/FAIA230264__Frontiers in Artificial Intelligence and Applications, vol. 372, IOS Press, 2023, pp. 141–48, doi:10.3233/FAIA230264.

Ansaripour, Matin, et al. “Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems.”10.1007/978-3-031-45329-8_17__21st International Symposium on Automated Technology for Verification and Analysis, vol. 14215, Springer Nature, 2023, pp. 357–79, doi:10.1007/978-3-031-45329-8_17.

Zikelic, Dorde. Automated Verification and Control of Infinite State Stochastic Systems. Institute of Science and Technology Austria, 2023, doi:10.15479/14539.

Chatterjee, Krishnendu, et al. “On Lexicographic Proof Rules for Probabilistic Termination.”10.1145/3585391__Formal Aspects of Computing, vol. 35, no. 2, 11, Association for Computing Machinery, 2023, doi:10.1145/3585391.

Zikelic, Dorde, et al. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.”10.1609/aaai.v37i10.26407__Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 10, Association for the Advancement of Artificial Intelligence, 2023, pp. 11926–35, doi:10.1609/aaai.v37i10.26407.

Zikelic, Dorde, et al. “Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees.” 37th Conference on Neural Information Processing Systems, 2023.

Ahmadi, Ali, et al. “Algorithms and Hardness Results for Computing Cores of Markov Chains.”10.4230/LIPIcs.FSTTCS.2022.29__42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, vol. 250, 29, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, doi:10.4230/LIPIcs.FSTTCS.2022.29.

Zikelic, Dorde, et al. “Differential Cost Analysis with Simultaneous Potentials and Anti-Potentials.”10.1145/3519939.3523435__Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2022, pp. 442–57, doi:10.1145/3519939.3523435.

Chatterjee, Krishnendu, et al. “Social Balance on Networks: Local Minima and Best-Edge Dynamics.”10.1103/physreve.106.034321__Physical Review E, vol. 106, no. 3, 034321, American Physical Society, 2022, doi:10.1103/physreve.106.034321.

Chatterjee, Krishnendu, et al. “Sound and Complete Certificates for Auantitative Termination Analysis of Probabilistic Programs.”10.1007/978-3-031-13185-1_4__Proceedings of the 34th International Conference on Computer Aided Verification, vol. 13371, Springer, 2022, pp. 55–78, doi:10.1007/978-3-031-13185-1_4.

Lechner, Mathias, et al. “Stability Verification in Stochastic Control Systems via Neural Network Supermartingales.”10.1609/aaai.v36i7.20695__Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7, Association for the Advancement of Artificial Intelligence, 2022, pp. 7326–36, doi:10.1609/aaai.v36i7.20695.

Zikelic, Dorde, et al. “Learning Stabilizing Policies in Stochastic Control Systems.”10.48550/arXiv.2205.11991__ArXiv, doi:10.48550/arXiv.2205.11991.

Zikelic, Dorde, et al. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.”10.48550/ARXIV.2210.05308__ArXiv, doi:10.48550/ARXIV.2210.05308.

Avni, Guy, et al. “Infinite-Duration All-Pay Bidding Games.”10.1137/1.9781611976465.38__Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, edited by Dániel Marx, Society for Industrial and Applied Mathematics, 2021, pp. 617–36, doi:10.1137/1.9781611976465.38.

Henzinger, Thomas A., et al. “Scalable Verification of Quantized Neural Networks.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 5A, AAAI Press, 2021, pp. 3787–95.

Chatterjee, Krishnendu, et al. “On Lexicographic Proof Rules for Probabilistic Termination.”10.1007/978-3-030-90870-6_33__24th International Symposium on Formal Methods, vol. 13047, Springer Nature, 2021, pp. 619–39, doi:10.1007/978-3-030-90870-6_33.

Chatterjee, Krishnendu, et al. “Proving Non-Termination by Program Reversal.”10.1145/3453483.3454093__Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2021, pp. 1033–48, doi:10.1145/3453483.3454093.

Chatterjee, Krishnendu, et al. RevTerm. Association for Computing Machinery, 2021, doi:10.1145/3410304.

Avni, Guy, et al. Bidding Mechanisms in Graph Games. Vol. 138, 11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.MFCS.2019.11.