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413 Publications

2023 | Published | Conference Paper | IST-REx-ID: 13292 | OA
Henzinger, Thomas A, Regular methods for operator precedence languages. 50th International Colloquium on Automata, Languages, and Programming 261. 2023
[Published Version] View | Files available | DOI | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14405 | OA
Bartocci, Ezio, Hypernode automata. 34th International Conference on Concurrency Theory 279. 2023
[Published Version] View | Files available | DOI | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14076 | OA
Chalupa, M., & Henzinger, T. A. (2023). Monitoring hyperproperties with prefix transducers. In 23nd International Conference on Runtime Verification (Vol. 14245, pp. 168–190). Thessaloniki, Greek: Springer Nature. https://doi.org/10.1007/978-3-031-44267-4_9
[Published Version] View | Files available | DOI
 
2023 | Research Data Reference | IST-REx-ID: 15035 | OA
Chalupa, M., & Henzinger, T. A. (2023). Monitoring hyperproperties with prefix transducers. Zenodo. https://doi.org/10.5281/ZENODO.8191723
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
2023 | Published | Conference Paper | IST-REx-ID: 12856 | OA
Chalupa, M., Mühlböck, F., Muroya Lei, S., & Henzinger, T. A. (2023). Vamos: Middleware for best-effort third-party monitoring. In Fundamental Approaches to Software Engineering (Vol. 13991, pp. 260–281). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30826-0_15
[Published Version] View | Files available | DOI
 
2023 | Published | Technical Report | IST-REx-ID: 12407 | OA
Chalupa, M., Mühlböck, F., Muroya Lei, S., & Henzinger, T. A. (2023). VAMOS: Middleware for Best-Effort Third-Party Monitoring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12407
[Published Version] View | Files available | DOI
 
2023 | Published | Journal Article | IST-REx-ID: 12704 | OA
Lechner, M., Amini, A., Rus, D., & Henzinger, T. A. (2023). Revisiting the adversarial robustness-accuracy tradeoff in robot learning. IEEE Robotics and Automation Letters. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LRA.2023.3240930
[Published Version] View | Files available | DOI | WoS | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., & Henzinger, T. A. (2023). Compositional policy learning in stochastic control systems with formal guarantees. In 37th Conference on Neural Information Processing Systems. New Orleans, LO, United States.
[Published Version] View | Files available | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 13142 | OA
Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). 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, pp. 3–25). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30823-9_1
[Published Version] View | Files available | DOI
 
2023 | Published | Conference Paper | IST-REx-ID: 14242 | OA
Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., & Rus, D. (2023). Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 14964–14973). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i12.26747
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14559 | OA
Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). Learning provably stabilizing neural controllers for discrete-time stochastic systems. In 21st International Symposium on Automated Technology for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore: Springer Nature. https://doi.org/10.1007/978-3-031-45329-8_17
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14518 | OA
Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., & Zikelic, D. (2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS Press. https://doi.org/10.3233/FAIA230264
[Published Version] View | Files available | DOI | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14243 | OA
Avni, G., Jecker, I. R., & Zikelic, D. (2023). Bidding graph games with partially-observable budgets. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 5464–5471). Washington, DC, United States. https://doi.org/10.1609/aaai.v37i5.25679
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14830
Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (2023). Learning control policies for stochastic systems with reach-avoid guarantees. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 11926–11935). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i10.26407
[Preprint] View | Files available | DOI | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14411 | OA
Beneš, N., Brim, L., Pastva, S., Šafránek, D., & Šmijáková, E. (2023). Phenotype control of partially specified boolean networks. In 21st International Conference on Computational Methods in Systems Biology (Vol. 14137, pp. 18–35). Luxembourg City, Luxembourg: Springer Nature. https://doi.org/10.1007/978-3-031-42697-1_2
[Submitted Version] View | Files available | DOI
 
2023 | Published | Conference Paper | IST-REx-ID: 14718 | OA
Pastva, Samuel, Binary decision diagrams on modern hardware. Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design. 2023
[Published Version] View | Files available | DOI
 
2023 | Published | Journal Article | IST-REx-ID: 13234 | OA
Kueffner, K., Lukina, A., Schilling, C., & Henzinger, T. A. (2023). Into the unknown: Active monitoring of neural networks (extended version). International Journal on Software Tools for Technology Transfer. Springer Nature. https://doi.org/10.1007/s10009-023-00711-4
[Published Version] View | Files available | DOI | WoS | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 12876 | OA
Beneš, N., Brim, L., Huvar, O., Pastva, S., & Šafránek, D. (2023). Boolean network sketches: A unifying framework for logical model inference. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btad158
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2023 | Published | Journal Article | IST-REx-ID: 13263 | OA
Trinh, V. G., Benhamou, B., Henzinger, T. A., & Pastva, S. (2023). Trap spaces of multi-valued networks: Definition, computation, and applications. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btad262
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Published | Conference Paper | IST-REx-ID: 12302 | OA
Doveri, K., Ganty, P., & Mazzocchi, N. A. (2022). FORQ-based language inclusion formal testing. In Computer Aided Verification (Vol. 13372, pp. 109–129). Haifa, Israel: Springer Nature. https://doi.org/10.1007/978-3-031-13188-2_6
[Published Version] View | Files available | DOI | WoS | arXiv
 

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