Wittgenstein Award – Thomas Henzinger

Project Period: 2014-01-01 – 2020-12-31
Funder: FWF
Principal Investigator
Department(s)
Grant Number
Z211
Funder
FWF

138 Publications

2023 | Published | Journal Article | IST-REx-ID: 12159 | OA
On the origin and structure of haplotype blocks
D. Shipilina, A. Pal, S. Stankowski, Y.F. Chan, N.H. Barton, Molecular Ecology 32 (2023) 1441–1457.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2023 | Published | Journal Article | IST-REx-ID: 12861 | OA
Quantitative assessment can stabilize indirect reciprocity under imperfect information
L. Schmid, F. Ekbatani, C. Hilbe, K. Chatterjee, Nature Communications 14 (2023).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Published | Conference Paper | IST-REx-ID: 10774 | OA
Flavors of sequential information flow
E. Bartocci, T. Ferrere, T.A. Henzinger, D. Nickovic, A.O. Da Costa, in:, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, 2022, pp. 1–19.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
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 | Thesis | 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 | 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
 
2022 | Published | Journal Article | IST-REx-ID: 12510 | OA
GoTube: Scalable statistical verification of continuous-depth models
S.A. Gruenbacher, M. Lechner, R. Hasani, D. Rus, T.A. Henzinger, S.A. Smolka, R. Grosu, Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022) 6755–6764.
[Preprint] View | DOI | Download Preprint (ext.) | 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 | Thesis | IST-REx-ID: 10293 | OA
Evolution of cooperation via (in)direct reciprocity under imperfect information
L. Schmid, Evolution of Cooperation via (in)Direct Reciprocity under Imperfect Information, Institute of Science and Technology Austria, 2021.
[Published Version] View | Files available | DOI
 
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.)
 
2021 | Published | Conference Paper | IST-REx-ID: 10669 | OA
On the verification of neural ODEs with stochastic guarantees
S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S.A. Smolka, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 11525–11535.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10670 | OA
Causal navigation by continuous-time neural networks
C.J. Vorbach, R. Hasani, A. Amini, M. Lechner, D. Rus, in:, 35th Conference on Neural Information Processing Systems, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10671 | OA
Liquid time-constant networks
R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 7657–7666.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

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