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Thomas Henzinger

Emily Yu

Kaushik Mallik

K. S. Thejaswini

Ana Oliveira da Costa

Mahyar Karimi

Konstantin Kueffner

Marek Chalupa

N. Ege Saraç

Stefanie Muroya Lei

Cezara Dragoi

Thomas Ferrère

Christian Schilling

Luka Zeleznik

Arjun Radhakrishna

Samuel Pastva

Andrey Kupriyanov

Ashutosh Gupta

Mirco Giacobbe

Duc Hiep Chu

Udi Boker

Bernhard Kragl

Sergiy Bogomolov

Jessica Davies

Hui Kong

Roopsha Samanta

Tatjana Petrov

Thorsten Tarrach

Anmol Tomar

Mathias Lechner

Damien Zufferey

Thomas Wies

Jan Kretinsky

Joost Katoen

Miriam García Soto

Ali Sezgin

Vasu Singh

Jan Otop

Fabian Mühlböck

Dejan Nickovic

Guy Avni

Przemyslaw Daca

Jakob Ruess

Adrian Elgyütt

Halalai, Raluca

Singh, Anmol

Pavol Cerny

Anna Lukina

Abhinav Verma

Nicolas Mazzocchi

Oliveira da Costa, Ana



385 Publications

2022 | Published | Conference Paper | IST-REx-ID: 10891
Quantitative monitoring of software
T.A. Henzinger, in:, Software Verification, Springer Nature, 2022, pp. 3–6.
View | DOI | WoS
 
2022 | Published | Conference Paper | IST-REx-ID: 11355 | OA
Information-flow interfaces
E. Bartocci, T. Ferrere, T.A. Henzinger, D. Nickovic, A.O. Da Costa, in:, Fundamental Approaches to Software Engineering, Springer Nature, 2022, pp. 3–22.
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Thesis | PhD | IST-REx-ID: 11362 | OA
Learning verifiable representations
M. Lechner, Learning Verifiable Representations, Institute of Science and Technology Austria, 2022.
[Published Version] View | Files available | DOI
 
2022 | Submitted | Preprint | IST-REx-ID: 11366 | OA
Revisiting the adversarial robustness-accuracy tradeoff in robot learning
M. Lechner, A. Amini, D. Rus, T.A. Henzinger, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 11775 | OA
Abstract monitors for quantitative specifications
T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, in:, 22nd International Conference on Runtime Verification, Springer Nature, 2022, pp. 200–220.
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Conference Paper | IST-REx-ID: 12010 | OA
Latent imagination facilitates zero-shot transfer in autonomous racing
A. Brunnbauer, L. Berducci, A. Brandstatter, M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, 2022 International Conference on Robotics and Automation, IEEE, 2022, pp. 7513–7520.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 12147 | OA
Closed-form continuous-time neural networks
R. Hasani, M. Lechner, A. Amini, L. Liebenwein, A. Ray, M. Tschaikowski, G. Teschl, D. Rus, Nature Machine Intelligence 4 (2022) 992–1003.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 8912 | OA
Boosting expensive synchronizing heuristics
N.E. Sarac, Ö.F. Altun, K.T. Atam, S. Karahoda, K. Kaya, H. Yenigün, Expert Systems with Applications 167 (2021).
[Submitted Version] View | Files available | DOI | WoS
 
2021 | Published | Conference Paper | IST-REx-ID: 9200 | OA
Synthesis of hybrid automata with affine dynamics from time-series data
M. Garcia Soto, T.A. Henzinger, C. Schilling, in:, HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control, Association for Computing Machinery, 2021, p. 2102.12734.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 9239 | OA
Bidding mechanisms in graph games
G. Avni, T.A. Henzinger, Đ. Žikelić, Journal of Computer and System Sciences 119 (2021) 133–144.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2021 | Submitted | Preprint | IST-REx-ID: 9281 | OA
Formal verification of Zagier's one-sentence proof
G. Dubach, F. Mühlböck, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 9356 | OA
Quantitative and approximate monitoring
T.A. Henzinger, N.E. Sarac, in:, Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, Institute of Electrical and Electronics Engineers, 2021.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10108 | OA
Differential monitoring
F. Mühlböck, T.A. Henzinger, in:, International Conference on Runtime Verification, Springer Nature, Cham, 2021, pp. 231–243.
[Preprint] View | Files available | DOI | WoS
 
2021 | Published | Journal Article | IST-REx-ID: 10153 | OA
Transitioning from structural to nominal code with efficient gradual typing
F. Mühlböck, R. Tate, Proceedings of the ACM on Programming Languages 5 (2021).
[Published Version] View | Files available | DOI
 
2021 | Published | Conference Paper | IST-REx-ID: 10206 | OA
Into the unknown: active monitoring of neural networks
A. Lukina, C. Schilling, T.A. Henzinger, in:, 21st International Conference on Runtime Verification, Springer Nature, Cham, 2021, pp. 42–61.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 10404 | OA
Interactive analysis of CNN robustness
S. Sietzen, M. Lechner, J. Borowski, R. Hasani, M. Waldner, Computer Graphics Forum 40 (2021) 253–264.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10665 | OA
Scalable verification of quantized neural networks
T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10666 | OA
Adversarial training is not ready for robot learning
M. Lechner, R. Hasani, R. Grosu, D. Rus, T.A. Henzinger, in:, 2021 IEEE International Conference on Robotics and Automation, 2021, pp. 4140–4147.
View | Files available | DOI | Download None (ext.) | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10667 | OA
Infinite time horizon safety of Bayesian neural networks
M. Lechner, Ð. Žikelić, K. Chatterjee, T.A. Henzinger, in:, 35th Conference on Neural Information Processing Systems, 2021.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10668 | OA
On-off center-surround receptive fields for accurate and robust image classification
Z. Babaiee, R. Hasani, M. Lechner, D. Rus, R. Grosu, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 478–489.
[Published Version] View | Files available | Download Published Version (ext.)
 

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