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514 Publications
2023 | Published | Conference Paper | IST-REx-ID: 12676 | 
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
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2023 | Published | Conference Paper | IST-REx-ID: 15023 |
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.
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 12861 |
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
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| PubMed | Europe PMC
2023 | Published | Conference Paper | IST-REx-ID: 14242 |
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
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14518 |
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
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14243 |
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
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 10770 |
Graham, T., Kleshnina, M., & Filar, J. A. (2023). Where do mistakes lead? A survey of games with incompetent players. Dynamic Games and Applications. Springer Nature. https://doi.org/10.1007/s13235-022-00425-3
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2023 | Published | Journal Article | IST-REx-ID: 13258 |
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
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2023 | Research Data Reference | IST-REx-ID: 13336 |
Kleshnina, M. (2023). kleshnina/stochgames_info: The effect of environmental information on evolution of cooperation in stochastic games. Zenodo. https://doi.org/10.5281/ZENODO.8059564
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2023 | Published | 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
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 13967 |
Kretinsky, J., Meggendorfer, T., & Weininger, M. (2023). Stopping criteria for value iteration on stochastic games with quantitative objectives. In 38th Annual ACM/IEEE Symposium on Logic in Computer Science (Vol. 2023). Boston, MA, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LICS56636.2023.10175771
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| arXiv
2023 | Published | Thesis | IST-REx-ID: 14539 |
Zikelic, D. (2023). Automated verification and control of infinite state stochastic systems. Institute of Science and Technology Austria. https://doi.org/10.15479/14539
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2023 | Published | Journal Article | IST-REx-ID: 12787 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 14417 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 13139 |
Meggendorfer, T. (2023). Correct approximation of stationary distributions. In TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13993, pp. 489–507). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30823-9_25
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| arXiv
2023 | Research Data Reference | IST-REx-ID: 14990 |
Meggendorfer, T. (2023). Artefact for: Correct Approximation of Stationary Distributions. Zenodo. https://doi.org/10.5281/ZENODO.7548214
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2023 | Published | Conference Paper | IST-REx-ID: 13142 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 14259 |
Kretinsky, J., Meggendorfer, T., Prokop, M., & Rieder, S. (2023). Guessing winning policies in LTL synthesis by semantic learning. In 35th International Conference on Computer Aided Verification (Vol. 13964, pp. 390–414). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37706-8_20
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2023 | Published | Conference Paper | IST-REx-ID: 14318 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 14317 |
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
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