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386 Publications

2020 | Conference Paper | IST-REx-ID: 7505 | OA
Henzinger, T. A., Lukina, A., & Schilling, C. (2020). Outside the box: Abstraction-based monitoring of neural networks. In 24th European Conference on Artificial Intelligence (Vol. 325, pp. 2433–2440). Santiago de Compostela, Spain: IOS Press. https://doi.org/10.3233/FAIA200375
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Conference Paper | IST-REx-ID: 8194 | OA
Baranowski, M., He, S., Lechner, M., Nguyen, T. S., & Rakamarić, Z. (2020). An SMT theory of fixed-point arithmetic. In Automated Reasoning (Vol. 12166, pp. 13–31). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-030-51074-9_2
[Published Version] View | DOI | Download Published Version (ext.) | WoS
 
2020 | Journal Article | IST-REx-ID: 8679
Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu, R. (2020). Neural circuit policies enabling auditable autonomy. Nature Machine Intelligence. Springer Nature. https://doi.org/10.1038/s42256-020-00237-3
View | Files available | DOI | WoS
 
2020 | Conference Paper | IST-REx-ID: 8704 | OA
Lechner, M., Hasani, R., Rus, D., & Grosu, R. (2020). 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 (pp. 5446–5452). Paris, France: IEEE. https://doi.org/10.1109/ICRA40945.2020.9196608
[Submitted Version] View | Files available | DOI | WoS
 
2020 | Conference Paper | IST-REx-ID: 8750 | OA
Forets, M., Freire, D., & Schilling, C. (2020). Efficient reachability analysis of parametric linear hybrid systems with  time-triggered transitions. In 18th ACM-IEEE International Conference on Formal Methods and Models for System Design. Virtual Conference: IEEE. https://doi.org/10.1109/MEMOCODE51338.2020.9314994
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

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