Hirvonen, J., Schmid, L., Chatterjee, K., &; Schmid, S. (2024). On the convergence time in graphical games: A locality-sensitive approach. In 27th International Conference on Principles of Distributed Systems (Vol. 286). Tokyo, Japan: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.OPODIS.2023.11 

Hübner, V., Staab, M., Hilbe, C., Chatterjee, K., &; Kleshnina, M. (2024). Efficiency and resilience of cooperation in asymmetric social dilemmas. Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences.https://doi.org/10.1073/pnas.2315558121 

Svoboda, J., Joshi, S. S., Tkadlec, J., &; Chatterjee, K. (2024). Amplifiers of selection for the Moran process with both Birth-death and death-Birth updating. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1012008 

Chatterjee, K., Meggendorfer, T., Saona Urmeneta, R. J., &; Svoboda, J. (2023). Faster algorithm for turn-based stochastic games with bounded treewidth. In Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 4590–4605). Florence, Italy: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611977554.ch173 

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 

Svoboda, J., Tkadlec, J., Kaveh, K., &; Chatterjee, K. (2023). Coexistence times in the Moran process with environmental heterogeneity. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. The Royal Society.https://doi.org/10.1098/rspa.2022.0685 

Schmid, L., Ekbatani, F., Hilbe, C., &; Chatterjee, K. (2023). Quantitative assessment can stabilize indirect reciprocity under imperfect information. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-023-37817-x 

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 

Sun, Y., Fu, H., Chatterjee, K., &; Goharshady, A. K. (2023). Automated tail bound analysis for probabilistic recurrence relations. In Computer Aided Verification (Vol. 13966, pp. 16–39). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37709-9_2 

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 

Chatterjee, K., Katoen, J. P., Mohr, S., Weininger, M., &; Winkler, T. (2023). Stochastic games with lexicographic objectives. Formal Methods in System Design. Springer Nature.https://doi.org/10.1007/s10703-023-00411-4 

Baier, C., Chatterjee, K., Meggendorfer, T., &; Piribauer, J. (2023). Entropic risk for turn-based stochastic games. In 48th International Symposium on Mathematical Foundations of Computer Science (Vol. 272). Bordeaux, France: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.MFCS.2023.15 

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 

Tkadlec, J., Kaveh, K., Chatterjee, K., &; Nowak, M. A. (2023). Evolutionary dynamics of mutants that modify population structure. Journal of the Royal Society, Interface. The Royal Society.https://doi.org/10.1098/rsif.2023.0355 

Kleshnina, M., Hilbe, C., Simsa, S., Chatterjee, K., &; Nowak, M. A. (2023). The effect of environmental information on evolution of cooperation in stochastic games. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-023-39625-9 

Bastankhah, M., Chatterjee, K., Maddah-Ali, M. A., Schmid, S., Svoboda, J., &; Yeo, M. X. (2023). : Boosting liquidity in payment channel networks with online admission control. In 27th International Conference on Financial Cryptography and Data Security (Vol. 13950, pp. 309–325). Bol, Brac, Croatia: Springer Nature.https://doi.org/10.1007/978-3-031-47754-6_18 

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 

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 

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.

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