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406 Publications


2023 | Published | Journal Article | IST-REx-ID: 14920 | OA
Banerjee, Tamajit, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck, and Sadegh Soudjani. “Fast Symbolic Algorithms for Mega-Regular Games under Strong Transition Fairness.” TheoretiCS. EPI Sciences, 2023. https://doi.org/10.46298/theoretics.23.4.
[Published Version] View | Files available | DOI | arXiv
 

2023 | Research Data Reference | IST-REx-ID: 14994 | OA
Majumdar, Rupak, Kaushik Mallik, Mateusz Rychlicki, Anne-Kathrin Schmuck, and Sadegh Soudjani. “A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.7877790.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2023 | Published | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic, Dorde, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, and Thomas A Henzinger. “Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees.” In 37th Conference on Neural Information Processing Systems, 2023.
[Published Version] View | Files available | arXiv
 

2023 | Research Data Reference | IST-REx-ID: 15035 | OA
Chalupa, Marek, and Thomas A Henzinger. “Monitoring Hyperproperties with Prefix Transducers.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8191723.
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2023 | Published | Conference Paper | IST-REx-ID: 12856 | OA
Chalupa, Marek, Fabian Mühlböck, Stefanie Muroya Lei, and Thomas A Henzinger. “Vamos: Middleware for Best-Effort Third-Party Monitoring.” In Fundamental Approaches to Software Engineering, 13991:260–81. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-30826-0_15.
[Published Version] View | Files available | DOI
 

2023 | Published | Conference Paper | IST-REx-ID: 14830
Zikelic, Dorde, Mathias Lechner, Thomas A Henzinger, and Krishnendu Chatterjee. “Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.” In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 37:11926–35. Association for the Advancement of Artificial Intelligence, 2023. https://doi.org/10.1609/aaai.v37i10.26407.
[Preprint] View | Files available | DOI | arXiv
 

2023 | Published | Conference Paper | IST-REx-ID: 13142 | OA
Chatterjee, Krishnendu, Thomas A Henzinger, Mathias Lechner, and Dorde Zikelic. “A Learner-Verifier Framework for Neural Network Controllers and Certificates of Stochastic Systems.” In Tools and Algorithms for the Construction and Analysis of Systems , 13993:3–25. Springer Nature, 2023. 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, Mathias, Dorde Zikelic, Krishnendu Chatterjee, Thomas A Henzinger, and Daniela Rus. “Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks.” In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 37:14964–73. Association for the Advancement of Artificial Intelligence, 2023. https://doi.org/10.1609/aaai.v37i12.26747.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Published | Conference Paper | IST-REx-ID: 14518 | OA
Avni, Guy, Tobias Meggendorfer, Suman Sadhukhan, Josef Tkadlec, and Dorde Zikelic. “Reachability Poorman Discrete-Bidding Games.” In Frontiers in Artificial Intelligence and Applications, 372:141–48. IOS Press, 2023. https://doi.org/10.3233/FAIA230264.
[Published Version] View | Files available | DOI | arXiv
 

2023 | Published | Conference Paper | IST-REx-ID: 14559 | OA
Ansaripour, Matin, Krishnendu Chatterjee, Thomas A Henzinger, Mathias Lechner, and Dorde Zikelic. “Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems.” In 21st International Symposium on Automated Technology for Verification and Analysis, 14215:357–79. Springer Nature, 2023. 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: 14243 | OA
Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Bidding Graph Games with Partially-Observable Budgets.” In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 37:5464–71, 2023. https://doi.org/10.1609/aaai.v37i5.25679.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 10774 | OA
Bartocci, Ezio, Thomas Ferrere, Thomas A Henzinger, Dejan Nickovic, and Ana Oliveira Da Costa. “Flavors of Sequential Information Flow.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13182:1–19. Springer Nature, 2022. https://doi.org/10.1007/978-3-030-94583-1_1.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Draft | Preprint | IST-REx-ID: 11366 | OA
Lechner, Mathias, Alexander Amini, Daniela Rus, and Thomas A Henzinger. “Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2204.07373.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 10891
Henzinger, Thomas A. “Quantitative Monitoring of Software.” In Software Verification, 13124:3–6. LNCS. Springer Nature, 2022. https://doi.org/10.1007/978-3-030-95561-8_1.
View | DOI | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 11355 | OA
Bartocci, Ezio, Thomas Ferrere, Thomas A Henzinger, Dejan Nickovic, and Ana Oliveira Da Costa. “Information-Flow Interfaces.” In Fundamental Approaches to Software Engineering, 13241:3–22. Springer Nature, 2022. https://doi.org/10.1007/978-3-030-99429-7_1.
[Published Version] View | Files available | DOI | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 11775 | OA
Henzinger, Thomas A, Nicolas Adrien Mazzocchi, and Naci E Sarac. “Abstract Monitors for Quantitative Specifications.” In 22nd International Conference on Runtime Verification, 13498:200–220. Springer Nature, 2022. 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, Axel, Luigi Berducci, Andreas Brandstatter, Mathias Lechner, Ramin Hasani, Daniela Rus, and Radu Grosu. “Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing.” In 2022 International Conference on Robotics and Automation, 7513–20. IEEE, 2022. 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, Ramin, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, and Daniela Rus. “Closed-Form Continuous-Time Neural Networks.” Nature Machine Intelligence. Springer Nature, 2022. https://doi.org/10.1038/s42256-022-00556-7.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12171 | OA
Garcia Soto, Miriam, Thomas A Henzinger, and Christian Schilling. “Synthesis of Parametric Hybrid Automata from Time Series.” In 20th International Symposium on Automated Technology for Verification and Analysis, 13505:337–53. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19992-9_22.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12175 | OA
Bose, Sougata, Thomas A Henzinger, Karoliina Lehtinen, Sven Schewe, and Patrick Totzke. “History-Deterministic Timed Automata Are Not Determinizable.” In 16th International Conference on Reachability Problems, 13608:67–76. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19135-0_5.
[Preprint] View | DOI | Download Preprint (ext.)
 

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