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6760 Publications
2024 |
Published |
Journal Article |
IST-REx-ID: 18926 |
Hensel, S., & Laux, T. (2024). BV solutions for mean curvature flow with constant angle: Allen-Cahn approximation and weak-strong uniqueness. Indiana University Mathematics Journal. Indiana University Mathematics Journal. https://doi.org/10.1512/iumj.2024.73.9701
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2024 |
Submitted |
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IST-REx-ID: 17101 |
Attia, L., Lichev, L., Mitsche, D., Saona Urmeneta, R. J., & Ziliotto, B. (n.d.). Zero-sum random games on directed graphs. arXiv. https://doi.org/10.48550/arXiv.2401.16252
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| arXiv
2024 |
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IST-REx-ID: 15006 |
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
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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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2024 |
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IST-REx-ID: 17162 |
Chatterjee, K., Goharshady, A. K., Meggendorfer, T., & Zikelic, D. (2024). Quantitative bounds on resource usage of probabilistic programs. Proceedings of the ACM on Programming Languages. Association for Computing Machinery. https://doi.org/10.1145/3649824
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2024 |
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IST-REx-ID: 19512 |
Andersson, J. D., Henzinger, M., Pagh, R., Steiner, T. A., & Upadhyay, J. (2024). Continual counting with gradual privacy expiration. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-0299
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2024 |
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Conference Paper |
IST-REx-ID: 19515 |
Fumero, M., Pegoraro, M., Maiorca, V., Locatello, F., & Rodolà, E. (2024). Latent functional maps: A spectral framework for representation alignment. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-2115
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2024 |
Research Data Reference |
IST-REx-ID: 23140 |
Žikelić, Đ. (2024). Artefact for: Quantitative Bounds on Resource Usage of Probabilistic Programs. Zenodo. https://doi.org/10.5281/zenodo.10457565
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2024 |
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IST-REx-ID: 15083 |
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 of the United States of America. National Academy of Sciences. https://doi.org/10.1073/pnas.2315558121
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| PubMed | Europe PMC
2024 |
Published |
Journal Article |
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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2024 |
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IST-REx-ID: 15108 |
Hübner, V., & Kleshnina, M. (2024). Computer code for “Efficiency and resilience of cooperation in asymmetric social dilemmas.” Zenodo. https://doi.org/10.5281/ZENODO.10639167
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2024 |
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Conference Paper |
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 |
Research Data Reference |
IST-REx-ID: 22798 |
Chatterjee, K., Kafshdar Goharshady, A., Kafshdar Goharshady, E., Karrabi, M., & Žikelić, Ð. (2024). Data for Sound and Complete Witnesses for Template-based Verification of LTL Properties on Polynomial Programs. Repository. https://doi.org/10.5281/zenodo.12518216
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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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IST-REx-ID: 18630 |
Chatterjee, K., & Doyen, L. (2024). Stochastic processes with expected stopping time. Logical Methods in Computer Science. EPI Sciences. https://doi.org/10.46298/lmcs-20(4:11)2024
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| arXiv
2024 |
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Conference Paper |
IST-REx-ID: 18600 |
Andriushchenko R, Bork A, Budde CE, Češka M, Grover K, Hahn EM, Hartmanns A, Israelsen B, Jansen N, Jeppson J, Junges S, Köhl MA, Könighofer B, Kretinsky J, Meggendorfer T, Parker D, Pranger S, Quatmann T, Ruijters E, Taylor L, Volk M, Weininger M, Zhang Z. 2024. Tools at the Frontiers of Quantitative Verification: QComp 2023 Competition Report. TOOLympics Challenge 2023. , LNCS, vol. 14550, 90–146.
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| arXiv
2024 |
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Conference Paper |
IST-REx-ID: 17099 |
Asadi, A., Chatterjee, K., Saona Urmeneta, R. J., & Svoboda, J. (2024). Concurrent stochastic games with stateful-discounted and parity objectives: Complexity and algorithms. In 44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (Vol. 323). Gujarat, India: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FSTTCS.2024.5
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| arXiv
2024 |
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Conference Paper |
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: 12738 |
Chatterjee, K., Katoen, J. P., Mohr, S., Weininger, M., & Winkler, T. (2024). Stochastic games with lexicographic objectives. Formal Methods in System Design. Springer Nature. https://doi.org/10.1007/s10703-023-00411-4
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2024 |
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Conference Paper |
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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