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