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527 Publications
2024 |
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Conference Paper |
IST-REx-ID: 17329 |
Alistarh, D.-A., Chatterjee, K., Karrabi, M., & Lazarsfeld, J. M. (2024). Game dynamics and equilibrium computation in the population protocol model. In Proceedings of the 43rd Annual ACM Symposium on Principles of Distributed Computing (pp. 40–49). Nantes, France: Association for Computing Machinery. https://doi.org/10.1145/3662158.3662768
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2024 |
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IST-REx-ID: 17402 |
Meggendorfer, T., & Weininger, M. (2024). Playing games with your PET: Extending the Partial Exploration Tool to stochastic games. In 36th International Conference on Computer Aided Verification (Vol. 14683, pp. 359–372). Montreal, Canada: Springer Nature. https://doi.org/10.1007/978-3-031-65633-0_16
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| arXiv
2024 |
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IST-REx-ID: 17474 |
Baier, C., Chatterjee, K., Meggendorfer, T., & Piribauer, J. (2024). Entropic risk for turn-based stochastic games. Information and Computation. Elsevier. https://doi.org/10.1016/j.ic.2024.105214
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| arXiv
2024 |
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IST-REx-ID: 18155 |
Chatterjee, K., Goharshady, A. K., Goharshady, E., Karrabi, M., & Zikelic, D. (2024). Sound and complete witnesses for template-based verification of LTL properties on polynomial programs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14933, pp. 600–619). Milan, Italy: Springer Nature. https://doi.org/10.1007/978-3-031-71162-6_31
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| arXiv
2024 |
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IST-REx-ID: 18159 |
Akshay, S., Chatterjee, K., Meggendorfer, T., & Zikelic, D. (2024). Certified policy verification and synthesis for MDPs under distributional reach-avoidance properties. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (pp. 3–12). Jeju, Korea: International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/1
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2024 |
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IST-REx-ID: 18160 |
Chatterjee, K., Goharshady, E., Karrabi, M., Novotný, P., & Zikelic, D. (2024). Solving long-run average reward robust MDPs via stochastic games. In 33rd International Joint Conference on Artificial Intelligence (pp. 6707–6715). Jeju, South Korea: International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/741
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| arXiv
2024 |
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IST-REx-ID: 17328 |
Chatterjee, K., Ebrahimzadeh, A., Karrabi, M., Pietrzak, K. Z., Yeo, M. X., & Zikelic, D. (2024). Fully automated selfish mining analysis in efficient proof systems blockchains. In Proceedings of the 43rd Annual ACM Symposium on Principles of Distributed Computing (pp. 268–278). Nantes, France: Association for Computing Machinery. https://doi.org/10.1145/3662158.3662769
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2024 |
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IST-REx-ID: 15297 |
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
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| arXiv
2024 |
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IST-REx-ID: 18703 |
Svoboda, J., & Chatterjee, K. (2024). Density amplifiers of cooperation for spatial games. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences. https://doi.org/10.1073/pnas.2405605121
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2024 |
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Journal Article |
IST-REx-ID: 18266
Chatterjee, K., Oliu-Barton, M., & Saona Urmeneta, R. J. (2024). Value-positivity for matrix games. Mathematics of Operations Research. Institute for Operations Research and the Management Sciences. https://doi.org/10.1287/moor.2022.0332
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2023 |
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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 |
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Journal Article |
IST-REx-ID: 12706 |
Mckerral, J. C., Kleshnina, M., Ejov, V., Bartle, L., Mitchell, J. G., & Filar, J. A. (2023). Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0279838
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2023 |
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IST-REx-ID: 12833 |
Biniaz, A., Jain, K., Lubiw, A., Masárová, Z., Miltzow, T., Mondal, D., … Turcotte, A. (2023). Token swapping on trees. Discrete Mathematics and Theoretical Computer Science. EPI Sciences. https://doi.org/10.46298/DMTCS.8383
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| arXiv
2023 |
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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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2023 |
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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 |
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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 |
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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: 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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2023 |
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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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