Trinh, G., Benhamou, B., Pastva, S., &; Soliman, S. (2024). Scalable enumeration of trap spaces in boolean networks via answer set programming. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (Vol. 38, pp. 10714–10722). Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v38i9.28943 
LibreCat: https://research-explorer.ista.ac.at/record/15321
DOI: 10.1609/aaai.v38i9.28943

Chalupa, M., &; Henzinger, T. A. (2023). Bubaak: Runtime monitoring of program verifiers. In Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13994, pp. 535–540). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30820-8_32 
LibreCat: https://research-explorer.ista.ac.at/record/12854
DOI: 10.1007/978-3-031-30820-8_32

Chalupa, M., Mühlböck, F., Muroya Lei, S., &; Henzinger, T. A. (2023). Vamos: Middleware for best-effort third-party monitoring. In Fundamental Approaches to Software Engineering (Vol. 13991, pp. 260–281). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30826-0_15 
LibreCat: https://research-explorer.ista.ac.at/record/12856
DOI: 10.1007/978-3-031-30826-0_15

Chalupa, M., Mühlböck, F., Muroya Lei, S., &; Henzinger, T. A. (2023). VAMOS: Middleware for Best-Effort Third-Party Monitoring. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12407 
LibreCat: https://research-explorer.ista.ac.at/record/12407
DOI: 10.15479/AT:ISTA:12407

Chatterjee, K., Henzinger, T. A., Lechner, M., &; Zikelic, D. (2023). A learner-verifier framework for neural network controllers and certificates of stochastic systems. In Tools and Algorithms for the Construction and Analysis of Systems  (Vol. 13993, pp. 3–25). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30823-9_1 
LibreCat: https://research-explorer.ista.ac.at/record/13142
DOI: 10.1007/978-3-031-30823-9_1

Anand, A., Mallik, K., Nayak, S. P., &; Schmuck, A. K. (2023). Computing adequately permissive assumptions for synthesis. In TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13994, pp. 211–228). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30820-8_15 
LibreCat: https://research-explorer.ista.ac.at/record/13141
DOI: 10.1007/978-3-031-30820-8_15

Henzinger, T. A., Mazzocchi, N. A., &; Sarac, N. E. (2023). Quantitative safety and liveness. In 26th International Conference Foundations of Software Science and Computation Structures (Vol. 13992, pp. 349–370). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-30829-1_17 
LibreCat: https://research-explorer.ista.ac.at/record/12467
DOI: 10.1007/978-3-031-30829-1_17
arXiv: 2301.11175

Henzinger, T. A., Kebis, P., Mazzocchi, N. A., &; Sarac, N. E. (2023). Regular methods for operator precedence languages. In 50th International Colloquium on Automata, Languages, and Programming (Vol. 261, p. 129:1--129:20). Paderborn, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ICALP.2023.129 
LibreCat: https://research-explorer.ista.ac.at/record/13292
DOI: 10.4230/LIPIcs.ICALP.2023.129
arXiv: 2305.03447

Lechner, M., Amini, A., Rus, D., &; Henzinger, T. A. (2023). Revisiting the adversarial robustness-accuracy tradeoff in robot learning. IEEE Robotics and Automation Letters. Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/LRA.2023.3240930 
LibreCat: https://research-explorer.ista.ac.at/record/12704
DOI: 10.1109/LRA.2023.3240930
WoS: 000936534100012
arXiv: 2204.07373

Benes, N., Brim, L., Huvar, O., Pastva, S., &; Safránek, D. (2023). Boolean network sketches: A unifying framework for logical model inference. Bioinformatics. Oxford Academic.https://doi.org/10.1093/bioinformatics/btad158 
LibreCat: https://research-explorer.ista.ac.at/record/12876
DOI: 10.1093/bioinformatics/btad158
WoS: 000976610800001
PMID: 37004199

Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., &; Rus, D. (2023). Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 14964–14973). Washington, DC, United States: Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v37i12.26747 
LibreCat: https://research-explorer.ista.ac.at/record/14242
DOI: 10.1609/aaai.v37i12.26747
arXiv: 2211.16187

Avni, G., Jecker, I. R., &; Zikelic, D. (2023). Bidding graph games with partially-observable budgets. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 5464–5471). Washington, DC, United States.https://doi.org/10.1609/aaai.v37i5.25679 
LibreCat: https://research-explorer.ista.ac.at/record/14243
DOI: 10.1609/aaai.v37i5.25679
arXiv: 2211.13626

Henzinger, T. A., Karimi, M., Kueffner, K., &; Mallik, K. (2023). Monitoring algorithmic fairness. In Computer Aided Verification (Vol. 13965, pp. 358–382). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37703-7_17 
LibreCat: https://research-explorer.ista.ac.at/record/13310
DOI: 10.1007/978-3-031-37703-7_17
arXiv: 2305.15979

Boker, U., Henzinger, T. A., Mazzocchi, N. A., &; Sarac, N. E. (2023). Safety and liveness of quantitative automata. In 34th International Conference on Concurrency Theory (Vol. 279). Antwerp, Belgium: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2023.17 
LibreCat: https://research-explorer.ista.ac.at/record/13221
DOI: 10.4230/LIPIcs.CONCUR.2023.17
arXiv: 2307.06016

Bartocci, E., Henzinger, T. A., Nickovic, D., &; Oliveira da Costa, A. (2023). Hypernode automata. In 34th International Conference on Concurrency Theory (Vol. 279). Antwerp, Belgium: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2023.21 
LibreCat: https://research-explorer.ista.ac.at/record/14405
DOI: 10.4230/LIPIcs.CONCUR.2023.21
arXiv: 2305.02836

Henzinger, T. A., Kueffner, K., &; Mallik, K. (2023). Monitoring algorithmic fairness under partial observations. In 23rd International Conference on Runtime Verification (Vol. 14245, pp. 291–311). Thessaloniki, Greece: Springer Nature.https://doi.org/10.1007/978-3-031-44267-4_15 
LibreCat: https://research-explorer.ista.ac.at/record/14454
DOI: 10.1007/978-3-031-44267-4_15
arXiv: 2308.00341

Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., &; Zikelic, D. (2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS Press.https://doi.org/10.3233/FAIA230264 
LibreCat: https://research-explorer.ista.ac.at/record/14518
DOI: 10.3233/FAIA230264
arXiv: 2307.15218

Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., &; Zikelic, D. (2023). Learning provably stabilizing neural controllers for discrete-time stochastic systems. In 21st International Symposium on Automated Technology for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore: Springer Nature.https://doi.org/10.1007/978-3-031-45329-8_17 
LibreCat: https://research-explorer.ista.ac.at/record/14559
DOI: 10.1007/978-3-031-45329-8_17

Trinh, V. G., Benhamou, B., Henzinger, T. A., &; Pastva, S. (2023). Trap spaces of multi-valued networks: Definition, computation, and applications. Bioinformatics. Oxford Academic.https://doi.org/10.1093/bioinformatics/btad262 
LibreCat: https://research-explorer.ista.ac.at/record/13263
DOI: 10.1093/bioinformatics/btad262
WoS: 001027457000060
PMID: 37387165

Majumdar, R., Mallik, K., Schmuck, A. K., &; Soudjani, S. (2023). Symbolic control for stochastic systems via finite parity games. Nonlinear Analysis: Hybrid Systems. Elsevier.https://doi.org/10.1016/j.nahs.2023.101430 
LibreCat: https://research-explorer.ista.ac.at/record/14400
DOI: 10.1016/j.nahs.2023.101430
WoS: 001093188100001
arXiv: 2101.00834

Pastva, S., &; Henzinger, T. A. (2023). Binary decision diagrams on modern hardware. In Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design (pp. 122–131). Ames, IA, United States: TU Vienna Academic Press.https://doi.org/10.34727/2023/isbn.978-3-85448-060-0_20 
LibreCat: https://research-explorer.ista.ac.at/record/14718
DOI: 10.34727/2023/isbn.978-3-85448-060-0_20

Zikelic, D., Lechner, M., Henzinger, T. A., &; Chatterjee, K. (2023). Learning control policies for stochastic systems with reach-avoid guarantees. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 11926–11935). Washington, DC, United States: Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v37i10.26407 
LibreCat: https://research-explorer.ista.ac.at/record/14830
DOI: 10.1609/aaai.v37i10.26407
arXiv: 2210.05308

Kueffner, K., Lukina, A., Schilling, C., &; Henzinger, T. A. (2023). Into the unknown: Active monitoring of neural networks (extended version). International Journal on Software Tools for Technology Transfer. Springer Nature.https://doi.org/10.1007/s10009-023-00711-4 
LibreCat: https://research-explorer.ista.ac.at/record/13234
DOI: 10.1007/s10009-023-00711-4
WoS: 001020160000001
arXiv: 2009.06429

Banerjee, T., Majumdar, R., Mallik, K., Schmuck, A.-K., &; Soudjani, S. (2023). Fast symbolic algorithms for mega-regular games under strong transition fairness. TheoretiCS. EPI Sciences.https://doi.org/10.46298/theoretics.23.4 
LibreCat: https://research-explorer.ista.ac.at/record/14920
DOI: 10.46298/theoretics.23.4
arXiv: 2202.07480

Benes, N., Brim, L., Pastva, S., Safránek, D., &; Smijáková, E. (2023). Phenotype control of partially specified boolean networks. In 21st International Conference on Computational Methods in Systems Biology (Vol. 14137, pp. 18–35). Luxembourg City, Luxembourg: Springer Nature.https://doi.org/10.1007/978-3-031-42697-1_2 
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DOI: 10.1007/978-3-031-42697-1_2

Majumdar, R., Mallik, K., Rychlicki, M., Schmuck, A.-K., &; Soudjani, S. (2023). A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties. In 35th International Conference on Computer Aided Verification (Vol. 13966, pp. 3–15). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37709-9_1 
LibreCat: https://research-explorer.ista.ac.at/record/14758
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Majumdar, R., Mallik, K., Rychlicki, M., Schmuck, A.-K., &; Soudjani, S. (2023). A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties. Zenodo.https://doi.org/10.5281/ZENODO.7877790 
LibreCat: https://research-explorer.ista.ac.at/record/14994
DOI: 10.5281/ZENODO.7877790

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 
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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 
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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

Zikelic, D., Lechner, M., Henzinger, T. A., &; Chatterjee, K. (n.d.). Learning control policies for stochastic systems with reach-avoid guarantees. arXiv.https://doi.org/10.48550/ARXIV.2210.05308 
LibreCat: https://research-explorer.ista.ac.at/record/14600
DOI: 10.48550/ARXIV.2210.05308
arXiv: 2210.05308

Mühlböck, F., &; Tate, R. (2021). Transitioning from structural to nominal code with efficient gradual typing. Proceedings of the ACM on Programming Languages. Chicago, IL, United States: Association for Computing Machinery.https://doi.org/10.1145/3485504 
LibreCat: https://research-explorer.ista.ac.at/record/10153
DOI: 10.1145/3485504

Grunbacher, S., Hasani, R., Lechner, M., Cyranka, J., Smolka, S. A., &; Grosu, R. (2021). On the verification of neural ODEs with stochastic guarantees. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 11525–11535). Virtual: AAAI Press.
LibreCat: https://research-explorer.ista.ac.at/record/10669
arXiv: 2012.08863