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  2025 (3)
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search. Demirović, E.; Schilling, C.; and Lukina, A. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 39, pages 27250–27257, 2025.
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search [link] github   In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search [link] zenodo   link   bibtex   10 downloads  
Neural continuous-time supermartingale certificates. Neustroev, G.; Giacobbe, M.; and Lukina, A. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 39, pages 27538–27546, 2025.
Neural continuous-time supermartingale certificates [link] zenodo   Neural continuous-time supermartingale certificates [link] github   link   bibtex   6 downloads  
Composing Reinforcement Learning Policies, with Formal Guarantees. Delgrange, F.; Avni, G.; Lukina, A.; Schilling, C.; Nowe, A.; and Perez, G. In Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), 2025.
link   bibtex   1 download  
  2024 (3)
Safety verification of decision-tree policies in continuous time. Schilling, C.; Lukina, A.; Demirović, E.; and Larsen, K. Advances in Neural Information Processing Systems, 36. 2024. Spotlight (top 3%)
Safety verification of decision-tree policies in continuous time [link] doi   Safety verification of decision-tree policies in continuous time [link] github   Safety verification of decision-tree policies in continuous time [link] video   link   bibtex   6 downloads  
AI Verification: First International Symposium. Avni, G.; Giacobbe, M.; Johnson, T. T; Katz, G.; Lukina, A.; Narodytska, N.; and Schilling, C. Lecture Notes in Computer Science, 14846: 189. 2024.
AI Verification: First International Symposium [link] doi   link   bibtex   1 download  
Controller Synthesis from Deep Reinforcement Learning Policies. Delgrange, F.; Avni, G.; Lukina, A.; Schilling, C.; Nowe, A.; and Perez, G. In Seventeenth European Workshop on Reinforcement Learning, 2024.
Controller Synthesis from Deep Reinforcement Learning Policies [link] openreview   link   bibtex   2 downloads  
  2023 (2)
Combining runtime monitoring and machine learning with human feedback. Lukina, A. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 37, pages 15448–15448, 2023.
Combining runtime monitoring and machine learning with human feedback [link] doi   link   bibtex   1 download  
Into the unknown: active monitoring of neural networks (extended version). Kueffner, K.; Lukina, A.; Schilling, C.; and Henzinger, T. A International Journal on Software Tools for Technology Transfer, 25(4): 575–592. 2023.
Into the unknown: active monitoring of neural networks (extended version) [link] doi   Into the unknown: active monitoring of neural networks (extended version) [link] github   link   bibtex  
  2022 (1)
Murtree: Optimal decision trees via dynamic programming and search. Demirović, E.; Lukina, A.; Hebrard, E.; Chan, J.; Bailey, J.; Leckie, C.; Ramamohanarao, K.; and Stuckey, P. J Journal of Machine Learning Research, 23(26): 1–47. 2022.
Murtree: Optimal decision trees via dynamic programming and search [link] doi   Murtree: Optimal decision trees via dynamic programming and search [link] bitbucket   link   bibtex  
  2021 (2)
Into the unknown: Active monitoring of neural networks. Lukina, A.; Schilling, C.; and Henzinger, T. A In International Conference on Runtime Verification, pages 42–61, 2021. Springer International Publishing Cham
Into the unknown: Active monitoring of neural networks [link] doi   Into the unknown: Active monitoring of neural networks [link] github   Into the unknown: Active monitoring of neural networks [link] video   link   bibtex  
Active Monitoring of Neural Networks. Lukina, A.; Schilling, C.; and Henzinger, T. A In 33rd Benelux Conference on Artificial Intelligence and30th Belgian-Dutch Conference on Machine Learning, pages 685–687, 2021.
Active Monitoring of Neural Networks [link] doi   link   bibtex  
  2020 (2)
Formal methods with a touch of magic. Alamdari, P. A.; Avni, G.; Henzinger, T. A; and Lukina, A. In Proceedings of the 20th Conference on Formal Methods in Computer Aided Design (FMCAD), volume 1, pages 138–147, 2020. TU Wien Academic Press
Formal methods with a touch of magic [link] doi   Formal methods with a touch of magic [link] video   link   bibtex   2 downloads  
Outside the Box: Abstraction-Based Monitoring of Neural Networks. Henzinger, T. A; Lukina, A.; and Schilling, C. In Proceedings of the 24th European Conference on Artificial Intelligence, volume 325, 2020. Frontiers in Artificial Intelligence and Applications, IOS Press
Outside the Box: Abstraction-Based Monitoring of Neural Networks [link] doi   Outside the Box: Abstraction-Based Monitoring of Neural Networks [link] github   link   bibtex  
  2019 (4)
Distributed adaptive-neighborhood control for stochastic reachability in multi-agent systems. Lukina, A.; Tiwari, A.; Smolka, S. A; and Grosu, R. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, pages 914–921, 2019.
Distributed adaptive-neighborhood control for stochastic reachability in multi-agent systems [link] doi   Distributed adaptive-neighborhood control for stochastic reachability in multi-agent systems [link] github   link   bibtex  
Adaptive optimization framework for verification and control of cyber-physical systems. Lukina, A. Ph.D. Thesis, Technische Universität Wien, 2019.
Adaptive optimization framework for verification and control of cyber-physical systems [link] doi   link   bibtex   1 download  
Adaptive optimization framework for control of multi-agent systems. Lukina, A. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 33, pages 9991–9992, 2019.
Adaptive optimization framework for control of multi-agent systems [link] doi   link   bibtex  
Statistical model checking. Legay, A.; Lukina, A.; Traonouez, L. M.; Yang, J.; Smolka, S. A; and Grosu, R. In Computing and software science: state of the art and perspectives, pages 478–504. Springer International Publishing Cham, 2019.
Statistical model checking [link] doi   link   bibtex  
  2018 (4)
OpenUAV: A UAV testbed for the CPS and robotics community. Schmittle, M.; Lukina, A.; Vacek, L.; Das, J.; Buskirk, C. P; Rees, S.; Sztipanovits, J.; Grosu, R.; and Kumar, V. In 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS), pages 130–139, 2018. IEEE
OpenUAV: A UAV testbed for the CPS and robotics community [link] doi   OpenUAV: A UAV testbed for the CPS and robotics community [link] github   link   bibtex  
Formation control and persistent monitoring in the openuav swarm simulator on the NSF CPS-VO. Lukina, A.; Kumar, A.; Schmittle, M.; Singh, A.; Das, J.; Rees, S.; Buskirk, C. P; Sztipanovits, J.; Grosu, R.; and Kumar, V. In 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS), pages 353–354, 2018. IEEE
Formation control and persistent monitoring in the openuav swarm simulator on the NSF CPS-VO [link] doi   Formation control and persistent monitoring in the openuav swarm simulator on the NSF CPS-VO [link] github   link   bibtex  
Resilient control and safety for cyber-physical systems. Lukina, A.; Tiwari, A.; Smolka, S. A; Esterle, L.; Yang, J.; and Grosu, R. In 2018 IEEE Workshop on Monitoring and Testing of Cyber-Physical Systems (MT-CPS), pages 16–17, 2018. IEEE
Resilient control and safety for cyber-physical systems [link] doi   link   bibtex  
OpenUAV: A UAV Testbed for the CPS and Robotics Community. Schmittle, M.; Lukina, A; Vacek, L; Das, J; Buskirk, C.; Rees, S; Sztipanovits, J; Grosu, R; and Kumar, V 2018.
OpenUAV: A UAV Testbed for the CPS and Robotics Community [link] doi   link   bibtex  
  2017 (4)
ARES: adaptive receding-horizon synthesis of optimal plans. Lukina, A.; Esterle, L.; Hirsch, C.; Bartocci, E.; Yang, J.; Tiwari, A.; Smolka, S. A; and Grosu, R. In Tools and Algorithms for the Construction and Analysis of Systems: 23rd International Conference, TACAS 2017, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2017, Uppsala, Sweden, April 22-29, 2017, Proceedings, Part II 23, pages 286–302, 2017. Springer Berlin Heidelberg
ARES: adaptive receding-horizon synthesis of optimal plans [link] doi   ARES: adaptive receding-horizon synthesis of optimal plans [link] github   link   bibtex  
Resilient Control and Safety for Multi-Agent Cyber-Physical Systems. Lukina, A. In IJCAI, pages 5187–5188, 2017.
Resilient Control and Safety for Multi-Agent Cyber-Physical Systems. [link] doi   link   bibtex  
V for verification: intelligent algorithm of checking reliability of smart systems. Lukina, A. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 31, 2017.
V for verification: intelligent algorithm of checking reliability of smart systems [link] doi   link   bibtex  
Attacking the V: on the resiliency of adaptive-horizon MPC. Tiwari, A.; Smolka, S. A; Esterle, L.; Lukina, A.; Yang, J.; and Grosu, R. In Automated Technology for Verification and Analysis: 15th International Symposium, ATVA 2017, Pune, India, October 3–6, 2017, Proceedings 15, pages 446–462, 2017. Springer International Publishing
Attacking the V: on the resiliency of adaptive-horizon MPC [link] doi   link   bibtex  
  2016 (1)
Feedback control for statistical model checking of cyber-physical systems. Kalajdzic, K.; Jégourel, C.; Lukina, A.; Bartocci, E.; Legay, A.; Smolka, S. A; and Grosu, R. In Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques: 7th International Symposium, ISoLA 2016, Imperial, Corfu, Greece, October 10–14, 2016, Proceedings, Part I 7, pages 46–61, 2016. Springer International Publishing
Feedback control for statistical model checking of cyber-physical systems [link] doi   link   bibtex