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Ana Oliveira da Costa

Thomas Henzinger

Fabian Kresse

Filip Cano Cordoba

Leonard Brice

Konstantin Kueffner

Pavol Kebis

Stefanie Muroya Lei

Anton Varonka

Mahyar Karimi

Thomas Wies

Nicolas Mazzocchi

Abhinav Verma

Przemyslaw Daca

Jan Kretinsky

Jessica Davies

Adrian Elgyütt

Marek Chalupa

Andrey Kupriyanov

Bernhard Kragl

Arjun Radhakrishna

Christian Schilling

Roopsha Samanta

Samuel Pastva

Guy Avni

Sergiy Bogomolov

Joost Katoen

Anmol Tomar

Fabian Mühlböck

Tatjana Petrov

Anna Lukina

Udi Boker

Oliveira da Costa, Ana

K. S. Thejaswini

Thorsten Tarrach

Halalai, Raluca

Cezara Dragoi

Jan Otop

Miriam García Soto

Damien Zufferey

Ashutosh Gupta

Luka Zeleznik

Singh, Anmol

Hui Kong

Dejan Nickovic

Mirco Giacobbe

Mathias Lechner

Kaushik Mallik

Duc Hiep Chu

Ali Sezgin

Vasu Singh

Jakob Ruess

Emily Yu

N. Ege Saraç

Pavol Cerny

Thomas Ferrère



436 Publications

2022 | Published | Conference Paper | IST-REx-ID: 12509 | OA
G. Avni and T. A. Henzinger, “An updated survey of bidding games on graphs,” in 47th International Symposium on Mathematical Foundations of Computer Science, Vienna, Austria, 2022, vol. 241, p. 3:1-3:6.
[Published Version] View | Files available | DOI
 
2022 | Published | Journal Article | IST-REx-ID: 12510 | OA
S. A. Gruenbacher et al., “GoTube: Scalable statistical verification of continuous-depth models,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 6. Association for the Advancement of Artificial Intelligence, pp. 6755–6764, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 12511 | OA
M. Lechner, D. Zikelic, K. Chatterjee, and T. A. Henzinger, “Stability verification in stochastic control systems via neural network supermartingales,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7. Association for the Advancement of Artificial Intelligence, pp. 7326–7336, 2022.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 10774 | OA
E. Bartocci, T. Ferrere, T. A. Henzinger, D. Nickovic, and A. O. 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), Philadelphia, PA, United States, 2022, vol. 13182, pp. 1–19.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 10891
T. A. Henzinger, “Quantitative monitoring of software,” in Software Verification, New Haven, CT, United States, 2022, vol. 13124, pp. 3–6.
View | DOI | WoS
 
2022 | Published | Conference Paper | IST-REx-ID: 11355 | OA
E. Bartocci, T. Ferrere, T. A. Henzinger, D. Nickovic, and A. O. Da Costa, “Information-flow interfaces,” in Fundamental Approaches to Software Engineering, Munich, Germany, 2022, vol. 13241, pp. 3–22.
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Thesis | PhD | IST-REx-ID: 11362 | OA
M. Lechner, “Learning verifiable representations,” Institute of Science and Technology Austria, 2022.
[Published Version] View | Files available | DOI
 
2022 | Draft | Preprint | IST-REx-ID: 11366 | OA
M. Lechner, A. Amini, D. Rus, and T. A. Henzinger, “Revisiting the adversarial robustness-accuracy tradeoff in robot learning,” arXiv. .
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10665 | OA
T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10666 | OA
M. Lechner, R. Hasani, R. Grosu, D. Rus, and T. A. Henzinger, “Adversarial training is not ready for robot learning,” in 2021 IEEE International Conference on Robotics and Automation, Xi’an, China, 2021, pp. 4140–4147.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10667 | OA
M. Lechner, Ð. Žikelić, K. Chatterjee, and T. A. Henzinger, “Infinite time horizon safety of Bayesian neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10668 | OA
Z. Babaiee, R. Hasani, M. Lechner, D. Rus, and R. Grosu, “On-off center-surround receptive fields for accurate and robust image classification,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 478–489.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10669 | OA
S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S. A. Smolka, and R. Grosu, “On the verification of neural ODEs with stochastic guarantees,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 13, pp. 11525–11535.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10670 | OA
C. J. Vorbach, R. Hasani, A. Amini, M. Lechner, and D. Rus, “Causal navigation by continuous-time neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10671 | OA
R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu, “Liquid time-constant networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 9, pp. 7657–7666.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 10674 | OA
M. Aghajohari, G. Avni, and T. A. Henzinger, “Determinacy in discrete-bidding infinite-duration games,” Logical Methods in Computer Science, vol. 17, no. 1. International Federation for Computational Logic, p. 10:1-10:23, 2021.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10688 | OA
B. Kragl and S. Qadeer, “The Civl verifier,” in Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, Virtual, 2021, vol. 2, pp. 143–152.
[Published Version] View | Files available | DOI
 
2021 | Published | Conference Paper | IST-REx-ID: 10108 | OA
F. Mühlböck and T. A. Henzinger, “Differential monitoring,” in International Conference on Runtime Verification, Virtual, 2021, vol. 12974, pp. 231–243.
[Preprint] View | Files available | DOI | WoS
 
2021 | Published | Journal Article | IST-REx-ID: 10153 | OA
F. Mühlböck and R. Tate, “Transitioning from structural to nominal code with efficient gradual typing,” Proceedings of the ACM on Programming Languages, vol. 5. Association for Computing Machinery, 2021.
[Published Version] View | Files available | DOI
 
2021 | Published | Conference Paper | IST-REx-ID: 10206 | OA
A. Lukina, C. Schilling, and T. A. Henzinger, “Into the unknown: active monitoring of neural networks,” in 21st International Conference on Runtime Verification, Virtual, 2021, vol. 12974, pp. 42–61.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

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