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387 Publications

2020 | Journal Article | IST-REx-ID: 6761 | OA
G. Avni, T. A. Henzinger, and O. Kupferman, “Dynamic resource allocation games,” Theoretical Computer Science, vol. 807. Elsevier, pp. 42–55, 2020.
[Submitted Version] View | Files available | DOI | WoS
 
2020 | Conference Paper | IST-REx-ID: 7505 | OA
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.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Conference Paper | IST-REx-ID: 8194 | OA
M. Baranowski, S. He, M. Lechner, T. S. Nguyen, and Z. Rakamarić, “An SMT theory of fixed-point arithmetic,” in Automated Reasoning, Paris, France, 2020, vol. 12166, pp. 13–31.
[Published Version] View | DOI | Download Published Version (ext.) | WoS
 
2020 | Journal Article | IST-REx-ID: 8679
M. Lechner, R. Hasani, A. Amini, T. A. Henzinger, D. Rus, and R. Grosu, “Neural circuit policies enabling auditable autonomy,” Nature Machine Intelligence, vol. 2. Springer Nature, pp. 642–652, 2020.
View | Files available | DOI | WoS
 
2020 | Conference Paper | IST-REx-ID: 8704 | OA
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.
[Submitted Version] View | Files available | DOI | WoS
 

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