Sarac, N. E., Altun, Ö. F., Atam, K. T., Karahoda, S., Kaya, K., &; Yenigün, H. (2021). Boosting expensive synchronizing heuristics. Expert Systems with Applications. Elsevier.https://doi.org/10.1016/j.eswa.2020.114203 

Garcia Soto, M., Henzinger, T. A., &; Schilling, C. (2021). Synthesis of hybrid automata with affine dynamics from time-series data. In HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control (p. 2102.12734). Nashville, TN, United States: Association for Computing Machinery.https://doi.org/10.1145/3447928.3456704 

Avni, G., Henzinger, T. A., &; dikeli, . (2021). Bidding mechanisms in graph games. Journal of Computer and System Sciences. Elsevier.https://doi.org/10.1016/j.jcss.2021.02.008 

Henzinger, T. A., &; Sarac, N. E. (2021). Quantitative and approximate monitoring. In Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Online: Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/LICS52264.2021.9470547 

Petrov, T., Igler, C., Sezgin, A., Henzinger, T. A., &; Guet, C. C. (2021). Long lived transients in gene regulation. Theoretical Computer Science. Elsevier.https://doi.org/10.1016/j.tcs.2021.05.023 

Mühlböck, F., &; Henzinger, T. A. (2021). Differential monitoring. In International Conference on Runtime Verification (Vol. 12974, pp. 231–243). Cham: Springer Nature.https://doi.org/10.1007/978-3-030-88494-9_12 

Mühlböck, F., &; Henzinger, T. A. (2021). Differential monitoring. IST Austria.https://doi.org/10.15479/AT:ISTA:9946 

Sietzen, S., Lechner, M., Borowski, J., Hasani, R., &; Waldner, M. (2021). Interactive analysis of CNN robustness. Computer Graphics Forum. Wiley.https://doi.org/10.1111/cgf.14418 

Aghajohari, M., Avni, G., &; Henzinger, T. A. (2021). Determinacy in discrete-bidding infinite-duration games. Logical Methods in Computer Science. International Federation for Computational Logic.https://doi.org/10.23638/LMCS-17(1:10)2021 

Lechner, M., Hasani, R., Grosu, R., Rus, D., &; Henzinger, T. A. (2021). Adversarial training is not ready for robot learning. In 2021 IEEE International Conference on Robotics and Automation (pp. 4140–4147). Xi’an, China.https://doi.org/10.1109/ICRA48506.2021.9561036 

Lukina, A., Schilling, C., &; Henzinger, T. A. (2021). Into the unknown: active monitoring of neural networks. In 21st International Conference on Runtime Verification (Vol. 12974, pp. 42–61). Cham: Springer Nature.https://doi.org/10.1007/978-3-030-88494-9_3 

Hasani, R., Lechner, M., Amini, A., Rus, D., &; Grosu, R. (2020). A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits. In Proceedings of the 37th International Conference on Machine Learning (pp. 4082–4093). Virtual.

Ferrere, T., Henzinger, T. A., &; Kragl, B. (2020). Monitoring event frequencies. In 28th EACSL Annual Conference on Computer Science Logic (Vol. 152). Barcelona, Spain: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CSL.2020.20 

Althoff, M., Bak, S., Bao, Z., Forets, M., Frehse, G., Freire, D.,https://doi.org/10.29007/7dt2__Wetzlinger, M. (2020). ARCH-COM Category Report: Continuous and hybrid systems with linear dynamics. In EPiC Series in Computing (Vol. 74, pp. 16–48). EasyChair.https://doi.org/10.29007/7dt2 

Geretti, L., Alexandre Dit Sandretto, J., Althoff, M., Benet, L., Chapoutot, A., Chen, X.,https://doi.org/10.29007/zkf6__Schilling, C. (2020). ARCH-COM Category Report: Continuous and hybrid systems with nonlinear dynamics. In EPiC Series in Computing (Vol. 74, pp. 49–75). EasyChair.https://doi.org/10.29007/zkf6 

Chatterjee, K., Henzinger, T. A., &; Otop, J. (2020). Multi-dimensional long-run average problems for vector addition systems with states. In 31st International Conference on Concurrency Theory (Vol. 171). Virtual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2020.23 

Avni, G., &; Henzinger, T. A. (2020). A survey of bidding games on graphs. In 31st International Conference on Concurrency Theory (Vol. 171). Virtual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2020.2 

Alamdari, P. A., Avni, G., Henzinger, T. A., &; Lukina, A. (2020). Formal methods with a touch of magic. In Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design (pp. 138–147). Online Conference: TU Wien Academic Press.https://doi.org/10.34727/2020/isbn.978-3-85448-042-6_21 

Singh, S. P., &; Alistarh, D.-A. (2020). WoodFisher: Efficient second-order approximation for neural network compression. In Advances in Neural Information Processing Systems (Vol. 33, pp. 18098–18109). Vancouver, Canada: Curran Associates.

Gruenbacher, S., Cyranka, J., Lechner, M., Islam, M. A., Smolka, S. A., &; Grosu, R. (2020). Lagrangian reachtubes: The next generation. In Proceedings of the 59th IEEE Conference on Decision and Control (Vol. 2020, pp. 1556–1563). Jeju Islang, Korea (South): IEEE.https://doi.org/10.1109/CDC42340.2020.9304042