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457 Publications
2021 | Journal Article | IST-REx-ID: 9402 |
Schmid, L., Chatterjee, K., Hilbe, C., & Nowak, M. A. (2021). A unified framework of direct and indirect reciprocity. Nature Human Behaviour. Springer Nature. https://doi.org/10.1038/s41562-021-01114-8
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2020 | Conference Paper | IST-REx-ID: 7346 |
Schmid, L., Chatterjee, K., & Schmid, S. (2020). The evolutionary price of anarchy: Locally bounded agents in a dynamic virus game. In Proceedings of the 23rd International Conference on Principles of Distributed Systems (Vol. 153). Neuchâtel, Switzerland: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.OPODIS.2019.21
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2020 | Conference Paper | IST-REx-ID: 8600 |
Chatterjee, K., Henzinger, T. A., & Otop, J. (2020). Multi-dimensional long-run average problems for vector addition systems with states. In 31st International Conference on Concurrency Theory (Vol. 171). Virtual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2020.23
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2020 | Conference Paper | IST-REx-ID: 8533 |
Chatterjee, K., Ibsen-Jensen, R., Jecker, I. R., & Svoboda, J. (2020). Simplified game of life: Algorithms and complexity. In 45th International Symposium on Mathematical Foundations of Computer Science (Vol. 170). Prague, Czech Republic: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.MFCS.2020.22
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2020 | Conference Paper | IST-REx-ID: 8534 |
Jecker, I. R., Kupferman, O., & Mazzocchi, N. (2020). Unary prime languages. In 45th International Symposium on Mathematical Foundations of Computer Science (Vol. 170). Prague, Czech Republic: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.MFCS.2020.51
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2020 | Conference Paper | IST-REx-ID: 7955 |
Ashok, P., Chatterjee, K., Kretinsky, J., Weininger, M., & Winkler, T. (2020). Approximating values of generalized-reachability stochastic games. In Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science (pp. 102–115). Saarbrücken, Germany: Association for Computing Machinery. https://doi.org/10.1145/3373718.3394761
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| arXiv
2020 | Journal Article | IST-REx-ID: 8767 |
Kaveh, K., McAvoy, A., Chatterjee, K., & Nowak, M. A. (2020). The Moran process on 2-chromatic graphs. PLOS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1008402
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2020 | Journal Article | IST-REx-ID: 8789 |
Kleshnina, M., Streipert, S., Filar, J., & Chatterjee, K. (2020). Prioritised learning in snowdrift-type games. Mathematics. MDPI. https://doi.org/10.3390/math8111945
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2020 | Journal Article | IST-REx-ID: 8788
Pavlogiannis, A., Schaumberger, N., Schmid, U., & Chatterjee, K. (2020). Precedence-aware automated competitive analysis of real-time scheduling. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. IEEE. https://doi.org/10.1109/TCAD.2020.3012803
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2020 | Journal Article | IST-REx-ID: 9197
Avni, G., Ibsen-Jensen, R., & Tkadlec, J. (2020). All-pay bidding games on graphs. Proceedings of the AAAI Conference on Artificial Intelligence. New York, NY, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v34i02.5546
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2020 | Journal Article | IST-REx-ID: 7343 |
Milutinovic, B., Stock, M., Grasse, A. V., Naderlinger, E., Hilbe, C., & Cremer, S. (2020). Social immunity modulates competition between coinfecting pathogens. Ecology Letters. Wiley. https://doi.org/10.1111/ele.13458
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2020 | Research Data Reference | IST-REx-ID: 13060 |
Milutinovic, B., Stock, M., Grasse, A. V., Naderlinger, E., Hilbe, C., & Cremer, S. (2020). Social immunity modulates competition between coinfecting pathogens. Dryad. https://doi.org/10.5061/DRYAD.CRJDFN318
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2020 | Conference Paper | IST-REx-ID: 8193
Chatterjee, K., Chmelik, M., Karkhanis, D., Novotný, P., & Royer, A. (2020). Multiple-environment Markov decision processes: Efficient analysis and applications. In Proceedings of the 30th International Conference on Automated Planning and Scheduling (Vol. 30, pp. 48–56). Nancy, France: Association for the Advancement of Artificial Intelligence.
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2020 | Conference Paper | IST-REx-ID: 8272 |
Chatterjee, K., Katoen, J. P., Weininger, M., & Winkler, T. (2020). Stochastic games with lexicographic reachability-safety objectives. In International Conference on Computer Aided Verification (Vol. 12225, pp. 398–420). Springer Nature. https://doi.org/10.1007/978-3-030-53291-8_21
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| arXiv
2020 | Journal Article | IST-REx-ID: 8671 |
Shakiba, A., Goharshady, A. K., Hooshmandasl, M. R., & Alambardar Meybodi, M. (2020). A note on belief structures and s-approximation spaces. Iranian Journal of Mathematical Sciences and Informatics. Iranian Academic Center for Education, Culture and Research. https://doi.org/10.29252/ijmsi.15.2.117
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2020 | Journal Article | IST-REx-ID: 7212 |
Tkadlec, J., Pavlogiannis, A., Chatterjee, K., & Nowak, M. A. (2020). Limits on amplifiers of natural selection under death-Birth updating. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007494
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2020 | Thesis | IST-REx-ID: 7196 |
Tkadlec, J. (2020). A role of graphs in evolutionary processes. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:7196
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2020 | Research Data Reference | IST-REx-ID: 9814 |
Ibsen-Jensen, R., Tkadlec, J., Chatterjee, K., & Nowak, M. (2020). Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners. Royal Society. https://doi.org/10.6084/m9.figshare.5973013.v1
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2020 | Conference Paper | IST-REx-ID: 8324 |
Wang, P., Fu, H., Chatterjee, K., Deng, Y., & Xu, M. (2020). Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time. In Proceedings of the ACM on Programming Languages (Vol. 4). ACM. https://doi.org/10.1145/3371093
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2020 | Journal Article | IST-REx-ID: 15055 |
Brázdil, T., Chatterjee, K., Novotný, P., & Vahala, J. (2020). Reinforcement learning of risk-constrained policies in Markov decision processes. Proceedings of the 34th AAAI Conference on Artificial Intelligence. New York, NY, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v34i06.6531
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