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384 Publications

2023 | Conference Paper | IST-REx-ID: 14830
Zikelic, Dorde, et al. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.” Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol. 37, no. 10, Association for the Advancement of Artificial Intelligence, 2023, pp. 11926–35, doi:10.1609/aaai.v37i10.26407.
[Preprint] View | Files available | DOI | arXiv
 
2023 | Journal Article | IST-REx-ID: 13234 | OA
Kueffner, Konstantin, et al. “Into the Unknown: Active Monitoring of Neural Networks (Extended Version).” International Journal on Software Tools for Technology Transfer, vol. 25, Springer Nature, 2023, pp. 575–92, doi:10.1007/s10009-023-00711-4.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2023 | Journal Article | IST-REx-ID: 14920 | OA
Banerjee, Tamajit, et al. “Fast Symbolic Algorithms for Mega-Regular Games under Strong Transition Fairness.” TheoretiCS, vol. 2, 4, EPI Sciences, 2023, doi:10.46298/theoretics.23.4.
[Published Version] View | Files available | DOI | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14411 | OA
Beneš, Nikola, et al. “Phenotype Control of Partially Specified Boolean Networks.” 21st International Conference on Computational Methods in Systems Biology, vol. 14137, Springer Nature, 2023, pp. 18–35, doi:10.1007/978-3-031-42697-1_2.
[Submitted Version] View | Files available | DOI
 
2023 | Conference Paper | IST-REx-ID: 14758 | OA
Majumdar, Rupak, et al. “A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties.” 35th International Conference on Computer Aided Verification, vol. 13966, Springer Nature, 2023, pp. 3–15, doi:10.1007/978-3-031-37709-9_1.
[Published Version] View | Files available | DOI
 
2023 | Research Data Reference | IST-REx-ID: 14994 | OA
Majumdar, Rupak, et al. A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties. Zenodo, 2023, doi:10.5281/ZENODO.7877790.
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2023 | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic, Dorde, et al. “Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees.” 37th Conference on Neural Information Processing Systems, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14076 | OA
Chalupa, Marek, and Thomas A. Henzinger. “Monitoring Hyperproperties with Prefix Transducers.” 23nd International Conference on Runtime Verification, vol. 14245, Springer Nature, 2023, pp. 168–90, doi:10.1007/978-3-031-44267-4_9.
[Published Version] View | Files available | DOI
 
2023 | Research Data Reference | IST-REx-ID: 15035 | OA
Chalupa, Marek, and Thomas A. Henzinger. Monitoring Hyperproperties with Prefix Transducers. Zenodo, 2023, doi:10.5281/ZENODO.8191723.
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2023 | Conference Paper | IST-REx-ID: 13228 | OA
Henzinger, Thomas A., et al. “Runtime Monitoring of Dynamic Fairness Properties.” FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 2023, pp. 604–14, doi:10.1145/3593013.3594028.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2022 | Conference Paper | IST-REx-ID: 10774 | OA
Bartocci, Ezio, et al. “Flavors of Sequential Information Flow.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13182, Springer Nature, 2022, pp. 1–19, doi:10.1007/978-3-030-94583-1_1.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12010 | OA
Brunnbauer, Axel, et al. “Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing.” 2022 International Conference on Robotics and Automation, IEEE, 2022, pp. 7513–20, doi:10.1109/ICRA46639.2022.9811650.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12171 | OA
Garcia Soto, Miriam, et al. “Synthesis of Parametric Hybrid Automata from Time Series.” 20th International Symposium on Automated Technology for Verification and Analysis, vol. 13505, Springer Nature, 2022, pp. 337–53, doi:10.1007/978-3-031-19992-9_22.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12508 | OA
Henzinger, Thomas A., et al. “History-Deterministic Timed Automata.” 33rd International Conference on Concurrency Theory, vol. 243, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 14:1-14:21, doi:10.4230/LIPIcs.CONCUR.2022.14.
[Published Version] View | Files available | DOI
 
2022 | Conference Paper | IST-REx-ID: 12509 | OA
Avni, Guy, and Thomas A. Henzinger. “An Updated Survey of Bidding Games on Graphs.” 47th International Symposium on Mathematical Foundations of Computer Science, vol. 241, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 3:1-3:6, doi:10.4230/LIPIcs.MFCS.2022.3.
[Published Version] View | Files available | DOI
 
2022 | Preprint | IST-REx-ID: 11366 | OA
Lechner, Mathias, et al. “Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning.” ArXiv, 2204.07373, doi:10.48550/arXiv.2204.07373.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 10891
Henzinger, Thomas A. “Quantitative Monitoring of Software.” Software Verification, vol. 13124, Springer Nature, 2022, pp. 3–6, doi:10.1007/978-3-030-95561-8_1.
View | DOI | WoS
 
2022 | Conference Paper | IST-REx-ID: 11355 | OA
Bartocci, Ezio, et al. “Information-Flow Interfaces.” Fundamental Approaches to Software Engineering, vol. 13241, Springer Nature, 2022, pp. 3–22, doi:10.1007/978-3-030-99429-7_1.
[Published Version] View | Files available | DOI | WoS
 
2022 | Conference Paper | IST-REx-ID: 11775 | OA
Henzinger, Thomas A., et al. “Abstract Monitors for Quantitative Specifications.” 22nd International Conference on Runtime Verification, vol. 13498, Springer Nature, 2022, pp. 200–20, doi:10.1007/978-3-031-17196-3_11.
[Published Version] View | Files available | DOI | WoS
 
2022 | Journal Article | IST-REx-ID: 12147 | OA
Hasani, Ramin, et al. “Closed-Form Continuous-Time Neural Networks.” Nature Machine Intelligence, vol. 4, no. 11, Springer Nature, 2022, pp. 992–1003, doi:10.1038/s42256-022-00556-7.
[Published Version] View | Files available | DOI | WoS | arXiv
 

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