G. Trinh, B. Benhamou, S. Pastva, and S. Soliman, “Scalable enumeration of trap spaces in boolean networks via answer set programming,” in Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024, vol. 38, no. 9, pp. 10714–10722.
LibreCat: https://research-explorer.ista.ac.at/record/15321
DOI: 10.1609/aaai.v38i9.28943

M. Chalupa and T. A. Henzinger, “Bubaak: Runtime monitoring of program verifiers,” in Tools and Algorithms for the Construction and Analysis of Systems, Paris, France, 2023, vol. 13994, pp. 535–540.
LibreCat: https://research-explorer.ista.ac.at/record/12854
DOI: 10.1007/978-3-031-30820-8_32

M. Chalupa, F. Mühlböck, S. Muroya Lei, and T. A. Henzinger, “Vamos: Middleware for best-effort third-party monitoring,” in Fundamental Approaches to Software Engineering, Paris, France, 2023, vol. 13991, pp. 260–281.
LibreCat: https://research-explorer.ista.ac.at/record/12856
DOI: 10.1007/978-3-031-30826-0_15

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

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

A. Anand, K. Mallik, S. P. Nayak, and A. K. Schmuck, “Computing adequately permissive assumptions for synthesis,” in TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems, Paris, France, 2023, vol. 13994, pp. 211–228.
LibreCat: https://research-explorer.ista.ac.at/record/13141
DOI: 10.1007/978-3-031-30820-8_15

T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Quantitative safety and liveness,” in 26th International Conference Foundations of Software Science and Computation Structures, Paris, France, 2023, vol. 13992, pp. 349–370.
LibreCat: https://research-explorer.ista.ac.at/record/12467
DOI: 10.1007/978-3-031-30829-1_17
arXiv: 2301.11175

T. A. Henzinger, P. Kebis, N. A. Mazzocchi, and N. E. Sarac, “Regular methods for operator precedence languages,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261, p. 129:1--129:20.
LibreCat: https://research-explorer.ista.ac.at/record/13292
DOI: 10.4230/LIPIcs.ICALP.2023.129
arXiv: 2305.03447

M. Lechner, A. Amini, D. Rus, and T. A. Henzinger, “Revisiting the adversarial robustness-accuracy tradeoff in robot learning,” IEEE Robotics and Automation Letters, vol. 8, no. 3. Institute of Electrical and Electronics Engineers, pp. 1595–1602, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/12704
DOI: 10.1109/LRA.2023.3240930
WoS: 000936534100012
arXiv: 2204.07373

N. Benes, L. Brim, O. Huvar, S. Pastva, and D. Safránek, “Boolean network sketches: A unifying framework for logical model inference,” Bioinformatics, vol. 39, no. 4. Oxford Academic, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/12876
DOI: 10.1093/bioinformatics/btad158
WoS: 000976610800001
PMID: 37004199