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2020 | Conference Paper | IST-REx-ID: 7808 |
M. Giacobbe, T. A. Henzinger, and M. Lechner, “How many bits does it take to quantize your neural network?,” in International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Dublin, Ireland, 2020, vol. 12079, pp. 79–97.View | Files available | DOI
2020 | Conference Paper | IST-REx-ID: 8012 |
B. Kragl, C. Enea, T. A. Henzinger, S. O. Mutluergil, and S. Qadeer, “Inductive sequentialization of asynchronous programs,” in Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, London, United Kingdom, 2020, pp. 227–242.View | Files available | DOI | Download Published Version (ext.)
2020 | Conference Paper | IST-REx-ID: 7505 |
T. A. Henzinger, A. Lukina, and C. Schilling, “Outside the box: Abstraction-based monitoring of neural networks,” in 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 2020, vol. 325, pp. 2433–2440.View | Files available | DOI | arXiv
2020 | Conference Paper | IST-REx-ID: 8704 |
M. Lechner, R. Hasani, D. Rus, and R. Grosu, “Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme,” in Proceedings - IEEE International Conference on Robotics and Automation, Paris, France, 2020, pp. 5446–5452.View | Files available | DOI
2020 | Journal Article | IST-REx-ID: 8790
S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, and C. Schilling, “Reachability analysis of linear hybrid systems via block decomposition,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11, pp. 4018–4029, 2020.View | Files available | DOI | arXiv