Schmid S, Svoboda J, Yeo MX. Weighted packet selection for rechargeable links in cryptocurrency networks: Complexity and approximation. Theoretical Computer Science. 2024;989. doi:10.1016/j.tcs.2023.114353

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

Hübner V, Staab M, Hilbe C, Chatterjee K, Kleshnina M. Efficiency and resilience of cooperation in asymmetric social dilemmas. Proceedings of the National Academy of Sciences. 2024;121(10). doi:10.1073/pnas.2315558121

Hübner V, Kleshnina M. Computer code for “Efficiency and resilience of cooperation in asymmetric social dilemmas.”10.5281/ZENODO.10639167__2024. doi:10.5281/ZENODO.10639167

Svoboda J, Joshi SS, Tkadlec J, Chatterjee K. Amplifiers of selection for the Moran process with both Birth-death and death-Birth updating. PLoS Computational Biology. 2024;20(3). doi:10.1371/journal.pcbi.1012008

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

Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 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. Springer Nature; 2023:3-25. doi:10.1007/978-3-031-30823-9_1

Svoboda J, Tkadlec J, Kaveh K, Chatterjee K. Coexistence times in the Moran process with environmental heterogeneity. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2023;479(2271). doi:10.1098/rspa.2022.0685

Schmid L, Ekbatani F, Hilbe C, Chatterjee K. Quantitative assessment can stabilize indirect reciprocity under imperfect information. Nature Communications. 2023;14. doi:10.1038/s41467-023-37817-x

Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol 37. Association for the Advancement of Artificial Intelligence; 2023:14964-14973. doi:10.1609/aaai.v37i12.26747