Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., &; Henzinger, T. A. (2023). Compositional policy learning in stochastic control systems with formal guarantees. In 37th Conference on Neural Information Processing Systems. New Orleans, LO, United States.
LibreCat: https://research-explorer.ista.ac.at/record/15023
arXiv: 2312.01456

Chalupa, M., &; Henzinger, T. A. (2023). Monitoring hyperproperties with prefix transducers. In 23nd International Conference on Runtime Verification (Vol. 14245, pp. 168–190). Thessaloniki, Greek: Springer Nature.https://doi.org/10.1007/978-3-031-44267-4_9 
LibreCat: https://research-explorer.ista.ac.at/record/14076
DOI: 10.1007/978-3-031-44267-4_9

Chalupa, M., &; Henzinger, T. A. (2023). Monitoring hyperproperties with prefix transducers. Zenodo.https://doi.org/10.5281/ZENODO.8191723 
LibreCat: https://research-explorer.ista.ac.at/record/15035
DOI: 10.5281/ZENODO.8191723

Henzinger, T. A., Karimi, M., Kueffner, K., &; Mallik, K. (2023). Runtime monitoring of dynamic fairness properties. In FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 604–614). Chicago, IL, United States: Association for Computing Machinery.https://doi.org/10.1145/3593013.3594028 
LibreCat: https://research-explorer.ista.ac.at/record/13228
DOI: 10.1145/3593013.3594028
WoS: 001062819300057
arXiv: 2305.04699

Bartocci, E., Ferrere, T., Henzinger, T. A., Nickovic, D., &; Da Costa, A. O. (2022). Flavors of sequential information flow. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13182, pp. 1–19). Philadelphia, PA, United States: Springer Nature.https://doi.org/10.1007/978-3-030-94583-1_1 
LibreCat: https://research-explorer.ista.ac.at/record/10774
DOI: 10.1007/978-3-030-94583-1_1
arXiv: 2105.02013

Brunnbauer, A., Berducci, L., Brandstatter, A., Lechner, M., Hasani, R., Rus, D., &; Grosu, R. (2022). Latent imagination facilitates zero-shot transfer in autonomous racing. In 2022 International Conference on Robotics and Automation (pp. 7513–7520). Philadelphia, PA, United States: IEEE.https://doi.org/10.1109/ICRA46639.2022.9811650 
LibreCat: https://research-explorer.ista.ac.at/record/12010
DOI: 10.1109/ICRA46639.2022.9811650
arXiv: 2103.04909

Garcia Soto, M., Henzinger, T. A., &; Schilling, C. (2022). Synthesis of parametric hybrid automata from time series. In 20th International Symposium on Automated Technology for Verification and Analysis (Vol. 13505, pp. 337–353). Virtual: Springer Nature.https://doi.org/10.1007/978-3-031-19992-9_22 
LibreCat: https://research-explorer.ista.ac.at/record/12171
DOI: 10.1007/978-3-031-19992-9_22
arXiv: 2208.06383

Henzinger, T. A., Lehtinen, K., &; Totzke, P. (2022). History-deterministic timed automata. In 33rd International Conference on Concurrency Theory (Vol. 243, p. 14:1-14:21). Warsaw, Poland: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2022.14 
LibreCat: https://research-explorer.ista.ac.at/record/12508
DOI: 10.4230/LIPIcs.CONCUR.2022.14

Avni, G., &; Henzinger, T. A. (2022). An updated survey of bidding games on graphs. In 47th International Symposium on Mathematical Foundations of Computer Science (Vol. 241, p. 3:1-3:6). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.MFCS.2022.3 
LibreCat: https://research-explorer.ista.ac.at/record/12509
DOI: 10.4230/LIPIcs.MFCS.2022.3

Lechner, M., Amini, A., Rus, D., &; Henzinger, T. A. (n.d.). Revisiting the adversarial robustness-accuracy tradeoff in robot learning. arXiv.https://doi.org/10.48550/arXiv.2204.07373 
LibreCat: https://research-explorer.ista.ac.at/record/11366
DOI: 10.48550/arXiv.2204.07373
arXiv: 2204.07373

Henzinger, T. A. (2022). Quantitative monitoring of software. In Software Verification (Vol. 13124, pp. 3–6). New Haven, CT, United States: Springer Nature.https://doi.org/10.1007/978-3-030-95561-8_1 
LibreCat: https://research-explorer.ista.ac.at/record/10891
DOI: 10.1007/978-3-030-95561-8_1
WoS: 000771713200001

Bartocci, E., Ferrere, T., Henzinger, T. A., Nickovic, D., &; Da Costa, A. O. (2022). Information-flow interfaces. In Fundamental Approaches to Software Engineering (Vol. 13241, pp. 3–22). Munich, Germany: Springer Nature.https://doi.org/10.1007/978-3-030-99429-7_1 
LibreCat: https://research-explorer.ista.ac.at/record/11355
DOI: 10.1007/978-3-030-99429-7_1
WoS: 000782393600001

Henzinger, T. A., Mazzocchi, N. A., &; Sarac, N. E. (2022). Abstract monitors for quantitative specifications. In 22nd International Conference on Runtime Verification (Vol. 13498, pp. 200–220). Tbilisi, Georgia: Springer Nature.https://doi.org/10.1007/978-3-031-17196-3_11 
LibreCat: https://research-explorer.ista.ac.at/record/11775
DOI: 10.1007/978-3-031-17196-3_11
WoS: 000866539700011

Hasani, R., Lechner, M., Amini, A., Liebenwein, L., Ray, A., Tschaikowski, M.,https://doi.org/10.1038/s42256-022-00556-7__Rus, D. (2022). Closed-form continuous-time neural networks. Nature Machine Intelligence. Springer Nature.https://doi.org/10.1038/s42256-022-00556-7 
LibreCat: https://research-explorer.ista.ac.at/record/12147
DOI: 10.1038/s42256-022-00556-7
WoS: 000884215600003
arXiv: 2106.13898

Lechner, M. (2022). Learning verifiable representations. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11362 
LibreCat: https://research-explorer.ista.ac.at/record/11362
DOI: 10.15479/at:ista:11362

Doveri, K., Ganty, P., &; Mazzocchi, N. A. (2022). FORQ-based language inclusion formal testing. In Computer Aided Verification (Vol. 13372, pp. 109–129). Haifa, Israel: Springer Nature.https://doi.org/10.1007/978-3-031-13188-2_6 
LibreCat: https://research-explorer.ista.ac.at/record/12302
DOI: 10.1007/978-3-031-13188-2_6
WoS: 000870310500006
arXiv: 2207.13549

Bose, S., Henzinger, T. A., Lehtinen, K., Schewe, S., &; Totzke, P. (2022). History-deterministic timed automata are not determinizable. In 16th International Conference on Reachability Problems (Vol. 13608, pp. 67–76). Kaiserslautern, Germany: Springer Nature.https://doi.org/10.1007/978-3-031-19135-0_5 
LibreCat: https://research-explorer.ista.ac.at/record/12175
DOI: 10.1007/978-3-031-19135-0_5

Gruenbacher, S. A., Lechner, M., Hasani, R., Rus, D., Henzinger, T. A., Smolka, S. A., &; Grosu, R. (2022). GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v36i6.20631 
LibreCat: https://research-explorer.ista.ac.at/record/12510
DOI: 10.1609/aaai.v36i6.20631
arXiv: 2107.08467

Lechner, M., Zikelic, D., Chatterjee, K., &; Henzinger, T. A. (2022). 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.https://doi.org/10.1609/aaai.v36i7.20695 
LibreCat: https://research-explorer.ista.ac.at/record/12511
DOI: 10.1609/aaai.v36i7.20695
arXiv: 2112.09495

Zikelic, D., Lechner, M., Chatterjee, K., &; Henzinger, T. A. (n.d.). Learning stabilizing policies in stochastic control systems. arXiv.https://doi.org/10.48550/arXiv.2205.11991 
LibreCat: https://research-explorer.ista.ac.at/record/14601
DOI: 10.48550/arXiv.2205.11991
arXiv: 2205.11991