T. A. Henzinger, “Quantitative monitoring of software,” in Software Verification, New Haven, CT, United States, 2022, vol. 13124, pp. 3–6.
LibreCat: https://research-explorer.ista.ac.at/record/10891
DOI: 10.1007/978-3-030-95561-8_1
WoS: 000771713200001

E. Bartocci, T. Ferrere, T. A. Henzinger, D. Nickovic, and A. O. Da Costa, “Information-flow interfaces,” in Fundamental Approaches to Software Engineering, Munich, Germany, 2022, vol. 13241, pp. 3–22.
LibreCat: https://research-explorer.ista.ac.at/record/11355
DOI: 10.1007/978-3-030-99429-7_1
WoS: 000782393600001

T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Abstract monitors for quantitative specifications,” in 22nd International Conference on Runtime Verification, Tbilisi, Georgia, 2022, vol. 13498, pp. 200–220.
LibreCat: https://research-explorer.ista.ac.at/record/11775
DOI: 10.1007/978-3-031-17196-3_11
WoS: 000866539700011

R. Hasani et al., “Closed-form continuous-time neural networks,” Nature Machine Intelligence, vol. 4, no. 11. Springer Nature, pp. 992–1003, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/12147
DOI: 10.1038/s42256-022-00556-7
WoS: 000884215600003
arXiv: 2106.13898

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

K. Doveri, P. Ganty, and N. A. Mazzocchi, “FORQ-based language inclusion formal testing,” in Computer Aided Verification, Haifa, Israel, 2022, vol. 13372, pp. 109–129.
LibreCat: https://research-explorer.ista.ac.at/record/12302
DOI: 10.1007/978-3-031-13188-2_6
WoS: 000870310500006
arXiv: 2207.13549

S. Bose, T. A. Henzinger, K. Lehtinen, S. Schewe, and P. Totzke, “History-deterministic timed automata are not determinizable,” in 16th International Conference on Reachability Problems, Kaiserslautern, Germany, 2022, vol. 13608, pp. 67–76.
LibreCat: https://research-explorer.ista.ac.at/record/12175
DOI: 10.1007/978-3-031-19135-0_5

S. A. Gruenbacher et al., “GoTube: Scalable statistical verification of continuous-depth models,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 6. Association for the Advancement of Artificial Intelligence, pp. 6755–6764, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/12510
DOI: 10.1609/aaai.v36i6.20631
arXiv: 2107.08467

M. Lechner, D. Zikelic, K. Chatterjee, and T. A. Henzinger, “Stability verification in stochastic control systems via neural network supermartingales,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7. Association for the Advancement of Artificial Intelligence, pp. 7326–7336, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/12511
DOI: 10.1609/aaai.v36i7.20695
arXiv: 2112.09495

D. Zikelic, M. Lechner, K. Chatterjee, and T. A. Henzinger, “Learning stabilizing policies in stochastic control systems,” arXiv. .
LibreCat: https://research-explorer.ista.ac.at/record/14601
DOI: 10.48550/arXiv.2205.11991
arXiv: 2205.11991

D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control policies for stochastic systems with reach-avoid guarantees,” arXiv. .
LibreCat: https://research-explorer.ista.ac.at/record/14600
DOI: 10.48550/ARXIV.2210.05308
arXiv: 2210.05308

F. Mühlböck and R. Tate, “Transitioning from structural to nominal code with efficient gradual typing,” Proceedings of the ACM on Programming Languages, vol. 5. Association for Computing Machinery, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10153
DOI: 10.1145/3485504

S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S. A. Smolka, and R. Grosu, “On the verification of neural ODEs with stochastic guarantees,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 13, pp. 11525–11535.
LibreCat: https://research-explorer.ista.ac.at/record/10669
arXiv: 2012.08863

R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu, “Liquid time-constant networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 9, pp. 7657–7666.
LibreCat: https://research-explorer.ista.ac.at/record/10671
arXiv: 2006.04439

Z. Babaiee, R. Hasani, M. Lechner, D. Rus, and R. Grosu, “On-off center-surround receptive fields for accurate and robust image classification,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 478–489.
LibreCat: https://research-explorer.ista.ac.at/record/10668

C. J. Vorbach, R. Hasani, A. Amini, M. Lechner, and D. Rus, “Causal navigation by continuous-time neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10670
arXiv: 2106.08314

B. Kragl and S. Qadeer, “The Civl verifier,” in Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, Virtual, 2021, vol. 2, pp. 143–152.
LibreCat: https://research-explorer.ista.ac.at/record/10688
DOI: 10.34727/2021/isbn.978-3-85448-046-4_23

G. Dubach and F. Mühlböck, “Formal verification of Zagier’s one-sentence proof,” arXiv. .
LibreCat: https://research-explorer.ista.ac.at/record/9281
DOI: 10.48550/arXiv.2103.11389
arXiv: 2103.11389

T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795.
LibreCat: https://research-explorer.ista.ac.at/record/10665
arXiv: 2012.08185

M. Lechner, Ð. dikeli, K. Chatterjee, and T. A. Henzinger, “Infinite time horizon safety of Bayesian neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10667
DOI: 10.48550/arXiv.2111.03165
arXiv: 2111.03165