Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

385 Publications


2022 | Published | Conference Paper | IST-REx-ID: 10891
Henzinger, T. A. (2022). Quantitative monitoring of software. In Software Verification (Vol. 13124, pp. 3–6). New Haven, CT, United States: Springer Nature. https://doi.org/10.1007/978-3-030-95561-8_1
View | DOI | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 11355 | OA
Bartocci, E., Ferrere, T., Henzinger, T. A., Nickovic, D., & Da Costa, A. O. (2022). Information-flow interfaces. In Fundamental Approaches to Software Engineering (Vol. 13241, pp. 3–22). Munich, Germany: Springer Nature. https://doi.org/10.1007/978-3-030-99429-7_1
[Published Version] View | Files available | DOI | WoS
 

2022 | Published | Thesis | PhD | IST-REx-ID: 11362 | OA
Lechner, M. (2022). Learning verifiable representations. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:11362
[Published Version] View | Files available | DOI
 

2022 | Submitted | Preprint | IST-REx-ID: 11366 | OA
Lechner, M., Amini, A., Rus, D., & Henzinger, T. A. (n.d.). Revisiting the adversarial robustness-accuracy tradeoff in robot learning. arXiv. https://doi.org/10.48550/arXiv.2204.07373
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 11775 | OA
Henzinger, T. A., Mazzocchi, N. A., & Sarac, N. E. (2022). Abstract monitors for quantitative specifications. In 22nd International Conference on Runtime Verification (Vol. 13498, pp. 200–220). Tbilisi, Georgia: Springer Nature. https://doi.org/10.1007/978-3-031-17196-3_11
[Published Version] View | Files available | DOI | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 12010 | OA
Brunnbauer, A., Berducci, L., Brandstatter, A., Lechner, M., Hasani, R., Rus, D., & Grosu, R. (2022). Latent imagination facilitates zero-shot transfer in autonomous racing. In 2022 International Conference on Robotics and Automation (pp. 7513–7520). Philadelphia, PA, United States: IEEE. https://doi.org/10.1109/ICRA46639.2022.9811650
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 12147 | OA
Hasani, R., Lechner, M., Amini, A., Liebenwein, L., Ray, A., Tschaikowski, M., … Rus, D. (2022). Closed-form continuous-time neural networks. Nature Machine Intelligence. Springer Nature. https://doi.org/10.1038/s42256-022-00556-7
[Published Version] View | Files available | DOI | WoS | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 8912 | OA
Sarac, N. E., Altun, Ö. F., Atam, K. T., Karahoda, S., Kaya, K., & Yenigün, H. (2021). Boosting expensive synchronizing heuristics. Expert Systems with Applications. Elsevier. https://doi.org/10.1016/j.eswa.2020.114203
[Submitted Version] View | Files available | DOI | WoS
 

2021 | Published | Conference Paper | IST-REx-ID: 9200 | OA
Garcia Soto, M., Henzinger, T. A., & Schilling, C. (2021). Synthesis of hybrid automata with affine dynamics from time-series data. In HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control (p. 2102.12734). Nashville, TN, United States: Association for Computing Machinery. https://doi.org/10.1145/3447928.3456704
[Published Version] View | Files available | DOI | WoS | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 9239 | OA
Avni, G., Henzinger, T. A., & Žikelić, Đ. (2021). Bidding mechanisms in graph games. Journal of Computer and System Sciences. Elsevier. https://doi.org/10.1016/j.jcss.2021.02.008
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2021 | Submitted | Preprint | IST-REx-ID: 9281 | OA
Dubach, G., & Mühlböck, F. (n.d.). Formal verification of Zagier’s one-sentence proof. arXiv. https://doi.org/10.48550/arXiv.2103.11389
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 9356 | OA
Henzinger, T. A., & Sarac, N. E. (2021). Quantitative and approximate monitoring. In Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Online: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LICS52264.2021.9470547
[Published Version] View | Files available | DOI | WoS | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10108 | OA
Mühlböck, F., & Henzinger, T. A. (2021). Differential monitoring. In International Conference on Runtime Verification (Vol. 12974, pp. 231–243). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-88494-9_12
[Preprint] View | Files available | DOI | WoS
 

2021 | Published | Journal Article | IST-REx-ID: 10153 | OA
Mühlböck, F., & Tate, R. (2021). Transitioning from structural to nominal code with efficient gradual typing. Proceedings of the ACM on Programming Languages. Chicago, IL, United States: Association for Computing Machinery. https://doi.org/10.1145/3485504
[Published Version] View | Files available | DOI
 

2021 | Published | Conference Paper | IST-REx-ID: 10206 | OA
Lukina, A., Schilling, C., & Henzinger, T. A. (2021). Into the unknown: active monitoring of neural networks. In 21st International Conference on Runtime Verification (Vol. 12974, pp. 42–61). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-88494-9_3
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 10404 | OA
Sietzen, S., Lechner, M., Borowski, J., Hasani, R., & Waldner, M. (2021). Interactive analysis of CNN robustness. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14418
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10665 | OA
Henzinger, T. A., Lechner, M., & Zikelic, D. (2021). Scalable verification of quantized neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 3787–3795). Virtual: AAAI Press.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10666 | OA
Lechner, M., Hasani, R., Grosu, R., Rus, D., & Henzinger, T. A. (2021). Adversarial training is not ready for robot learning. In 2021 IEEE International Conference on Robotics and Automation (pp. 4140–4147). Xi’an, China. https://doi.org/10.1109/ICRA48506.2021.9561036
View | Files available | DOI | Download None (ext.) | WoS | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10667 | OA
Lechner, M., Žikelić, Ð., Chatterjee, K., & Henzinger, T. A. (2021). Infinite time horizon safety of Bayesian neural networks. In 35th Conference on Neural Information Processing Systems. Virtual. https://doi.org/10.48550/arXiv.2111.03165
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10668 | OA
Babaiee, Z., Hasani, R., Lechner, M., Rus, D., & Grosu, R. (2021). On-off center-surround receptive fields for accurate and robust image classification. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 478–489). Virtual: ML Research Press.
[Published Version] View | Files available | Download Published Version (ext.)
 

Filters and Search Terms

department=ToHe

Search

Filter Publications

Display / Sort

Citation Style: APA

Export / Embed