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436 Publications
2022 |
Published |
Conference Paper |
IST-REx-ID: 12509 |
Avni, Guy, and Thomas A Henzinger. “An Updated Survey of Bidding Games on Graphs.” In 47th International Symposium on Mathematical Foundations of Computer Science, 241:3:1-3:6. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022. https://doi.org/10.4230/LIPIcs.MFCS.2022.3.
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2022 |
Published |
Journal Article |
IST-REx-ID: 12510 |
Gruenbacher, Sophie A., Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A Henzinger, Scott A. Smolka, and Radu Grosu. “GoTube: Scalable Statistical Verification of Continuous-Depth Models.” Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 2022. https://doi.org/10.1609/aaai.v36i6.20631.
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| arXiv
2022 |
Published |
Journal Article |
IST-REx-ID: 12511 |
Lechner, Mathias, Dorde Zikelic, Krishnendu Chatterjee, and Thomas A Henzinger. “Stability Verification in Stochastic Control Systems via Neural Network Supermartingales.” Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 2022. https://doi.org/10.1609/aaai.v36i7.20695.
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| arXiv
2022 |
Published |
Conference Paper |
IST-REx-ID: 10774 |
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.
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| 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.
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2022 |
Published |
Conference Paper |
IST-REx-ID: 11355 |
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.
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2022 |
Published |
Thesis | PhD |
IST-REx-ID: 11362 |
Lechner, Mathias. “Learning Verifiable Representations.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11362.
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2022 |
Draft |
Preprint |
IST-REx-ID: 11366 |
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.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10665 |
Henzinger, Thomas A, Mathias Lechner, and Dorde Zikelic. “Scalable Verification of Quantized Neural Networks.” In Proceedings of the AAAI Conference on Artificial Intelligence, 35:3787–95. AAAI Press, 2021.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10666 |
Lechner, Mathias, Ramin Hasani, Radu Grosu, Daniela Rus, and Thomas A Henzinger. “Adversarial Training Is Not Ready for Robot Learning.” In 2021 IEEE International Conference on Robotics and Automation, 4140–47. ICRA, 2021. https://doi.org/10.1109/ICRA48506.2021.9561036.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10667 |
Lechner, Mathias, Ðorđe Žikelić, Krishnendu Chatterjee, and Thomas A Henzinger. “Infinite Time Horizon Safety of Bayesian Neural Networks.” In 35th Conference on Neural Information Processing Systems, 2021. https://doi.org/10.48550/arXiv.2111.03165.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10668 |
Babaiee, Zahra, Ramin Hasani, Mathias Lechner, Daniela Rus, and Radu Grosu. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” In Proceedings of the 38th International Conference on Machine Learning, 139:478–89. ML Research Press, 2021.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10669 |
Grunbacher, Sophie, Ramin Hasani, Mathias Lechner, Jacek Cyranka, Scott A Smolka, and Radu Grosu. “On the Verification of Neural ODEs with Stochastic Guarantees.” In Proceedings of the AAAI Conference on Artificial Intelligence, 35:11525–35. AAAI Press, 2021.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10670 |
Vorbach, Charles J, Ramin Hasani, Alexander Amini, Mathias Lechner, and Daniela Rus. “Causal Navigation by Continuous-Time Neural Networks.” In 35th Conference on Neural Information Processing Systems, 2021.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10671 |
Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, and Radu Grosu. “Liquid Time-Constant Networks.” In Proceedings of the AAAI Conference on Artificial Intelligence, 35:7657–66. AAAI Press, 2021.
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| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 10674 |
Aghajohari, Milad, Guy Avni, and Thomas A Henzinger. “Determinacy in Discrete-Bidding Infinite-Duration Games.” Logical Methods in Computer Science. International Federation for Computational Logic, 2021. https://doi.org/10.23638/LMCS-17(1:10)2021.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10688 |
Kragl, Bernhard, and Shaz Qadeer. “The Civl Verifier.” In Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, edited by Piskac Ruzica and Michael W. Whalen, 2:143–152. TU Wien Academic Press, 2021. https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23.
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2021 |
Published |
Conference Paper |
IST-REx-ID: 10108 |
Mühlböck, Fabian, and Thomas A Henzinger. “Differential Monitoring.” In International Conference on Runtime Verification, 12974:231–43. Cham: Springer Nature, 2021. https://doi.org/10.1007/978-3-030-88494-9_12.
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2021 |
Published |
Journal Article |
IST-REx-ID: 10153 |
Mühlböck, Fabian, and Ross Tate. “Transitioning from Structural to Nominal Code with Efficient Gradual Typing.” Proceedings of the ACM on Programming Languages. Association for Computing Machinery, 2021. https://doi.org/10.1145/3485504.
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2021 |
Published |
Conference Paper |
IST-REx-ID: 10206 |
Lukina, Anna, Christian Schilling, and Thomas A Henzinger. “Into the Unknown: Active Monitoring of Neural Networks.” In 21st International Conference on Runtime Verification, 12974:42–61. Cham: Springer Nature, 2021. https://doi.org/10.1007/978-3-030-88494-9_3.
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