13136 / 13141 - centrum umělé inteligence

Publikační činnost 2025

Články v časopisech WoS

MRKOS, J. et al. Online Dynamic Pricing for Electric Vehicle Charging Stations With Reservations. IEEE Transactions on Intelligent Transportation Systems. 2025, 26(9), 13882-13897. ISSN 1524-9050. DOI 10.1109/TITS.2025.3565906.

BELLON, A. et al. Parametric Semidefinite Programming: Geometry of the Trajectory of Solutions. Mathematics of Operations Research. 2025, 50(1), 410-430. ISSN 0364-765X. DOI 10.1287/moor.2021.0097.

BAYER, J. a J. FAIGL. Decentralized multi-robot exploration under low-bandwidth communications. Autonomous Robots. 2025, 50(1), 1-27. ISSN 0929-5593. DOI 10.1007/s10514-025-10234-3.

SZADKOWSKI, R. a J. FAIGL. Lifelong Active Inference of Gait Control. IEEE Transactions on Neural Networks and Learning Systems. 2025, 36(10), 19133-19144. ISSN 2162-237X. DOI 10.1109/TNNLS.2025.3579814.

BLAHA, J. et al. On the Movement of the Honeybee Queen in the Hive. Scientific Reports. 2025, 15(1), 1-17. ISSN 2045-2322. DOI 10.1038/s41598-025-07093-4. Dostupné z: https://www.nature.com/articles/s41598-025-07093-4

GRIGGS, W.M. et al. Unique ergodicity in feedback interconnections of ensembles of agents. International Journal of Control. 2025, 98(11), 2559-2566. ISSN 0020-7179. DOI 10.1080/00207179.2025.2469281.

OKUNEVICH, I. et al. Online Context Learning for Socially Compliant Navigation. IEEE Robotics and Automation Letters. 2025, 10(5), 5042-5049. ISSN 2377-3766. DOI 10.1109/LRA.2025.3557309. Dostupné z: https://www.researchgate.net/publication/390442111_Online_Context_Learning_for_Socially_Compliant_Navigation

BALADA GAGGIOLI, L. a J. MAREČEK. Time evolution of controlled many-body quantum systems with matrix product operators. PHYSICAL REVIEW A. 2025, 112(6), 1-9. ISSN 2469-9926. DOI 10.1103/9mfk-gg3x.

WOODBURN, M. et al. Herd Routes: a feedback control-based preventative system for improving female pedestrian safety on city streets. International Journal of Control. 2025, 98(5), 1032-1045. ISSN 0020-7179. DOI 10.1080/00207179.2024.2380025.

CUCHÝ, M., M. JAKOB a J. MRKOS. Route and Charging Planning for Electric Vehicles: A Multi-Objective Approach. Transportation Letters. 2025, 17(1), 1-21. ISSN 1942-7867. DOI 10.1080/19427867.2024.2315359.

JANOTA, J. et al. Non-invasive Honeybee Colony Monitoring via Robotic Mapping of Combs in Observation Hives. Computers and Electronics in Agriculture. 2025, 239(C), 1-21. ISSN 0168-1699. DOI 10.1016/j.compag.2025.111031.

THRAN, J. et al. Reserve Provision From Electric Vehicles: Aggregate Boundaries and Stochastic Model Predictive Control. IEEE Transactions on Power Systems. 2025, 40(5), 4081-4092. ISSN 0885-8950. DOI 10.1109/TPWRS.2025.3539863.

ROZSYPÁLEK, Z. et al. Rapid Deployment of Visual Path Following via Average Representation. Journal of Intelligent and Robotic Systems. 2025, 111(3), 1-20. ISSN 0921-0296. DOI 10.1007/s10846-025-02302-8.

MA, S. et al. Truss Topology Design under Harmonic Loads: Peak Power Minimization with Semidefinite Programming. Structural and Multidisciplinary Optimization. 2025, 68(2), 1-24. ISSN 1615-147X. DOI 10.1007/s00158-025-03973-5.

STRACHOTA, P. et al. Numerically efficient determination of kinetic parameters of the VR-1 nuclear reactor based on experimental data and ODE-constrained optimization. Annals of Nuclear Energy. 2025, 211 ISSN 0306-4549. DOI 10.1016/j.anucene.2024.111023.

GHOTAVADEKAR, A. et al. Variable Time-Step MPC for Agile Multi-Rotor UAV Interception of Dynamic Targets. IEEE Robotics and Automation Letters. 2025, 10(2), 1249-1256. ISSN 2377-3766. DOI 10.1109/LRA.2024.3518096. Dostupné z: https://ieeexplore.ieee.org/document/10803033

Články v ostatních periodikách

BANDHANA, A. a J. VOKŘÍNEK. AI-Driven Manufacturing: Surveying for Industry 4.0 and Beyond. Operations Research Forum. 2025, 6(4), ISSN 2662-2556. DOI 10.1007/s43069-025-00554-6. Dostupné z: https://link.springer.com/article/10.1007/s43069-025-00554-6

BONDAR, D. et al. Globally optimal control of quantum dynamics. Physical Review Research. 2025, 7(4), ISSN 2643-1564. DOI 10.1103/g4fb-xm13.

KHARMAN, A. et al. An Adversarially Robust Data Market for Spatial, Crowd-sourced Data. Distributed Ledger Technologies: Research and Practice. 2025, 4(4), 1-20. ISSN 2769-6480. DOI 10.1145/3703464.

VALEROS, V. a S. GARCÍA. CTU Hornet 65 Niner: A Network Dataset of Geographically Distributed Low-interaction Honeypots. Data in Brief. 2025, 58 1-8. ISSN 2352-3409. DOI 10.1016/j.dib.2024.111261.

RYTÍŘ, P. et al. ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations. Transactions on Machine Learning Research. 2025, November ISSN 2835-8856. Dostupné z: https://openreview.net/forum?id=I64MJzl9Fy

YANG, T. et al. 3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review. Unmanned System. 2025, 13(02), 309-331. ISSN 2301-3850. DOI 10.1142/S230138502530001X.

Stati ve sbornících konferencí

RIGAKI, M. et al. Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs. In: Agents and Artificial Intelligence. ICAART 2024 16th International Conference on Agents and Artificial Intelligence, Rome, 2024-02-24/2024-02-26. Springer, Cham, 2025. s. 15-36. ISSN 0302-9743. ISBN 978-3-031-87329-4. DOI 10.1007/978-3-031-87330-0_2.

WANG, H. et al. Towards an Embodied Biohybrid Robotic Platform for Interaction with Honeybees. In: Proceedings of the 2025 IEEE International Conference on Mechatronics and Automation (ICMA). 22nd IEEE International Conference on Mechatronics and Automation, Beijing, 2025-08-03/2025-08-06. Institute of Electrical and Electronics Engineers, Inc., 2025. s. 322-327. ISSN 2152-7431. ISBN 979-8-3315-1427-3. DOI 10.1109/ICMA65362.2025.11120734.

PAPEŽ, M. et al. Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs. In: Proceedings of Machine Learning Research. The 41st Conference on Uncertainty in Artificial Intelligence, UAI 2025, Rio de Janeiro, 2025-07-21/2025-07-25. ML Research Press, 2025. s. 3416-3450. sv. 286. ISSN 2640-3498.

MAŠKOVÁ, M. a V. ŠMÍDL. Towards AI Analyst: Querying Costly Features for Fraud and Money Laundering Detection. In: 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE Annual International Computer Software and Applications Conference, Toronto, 2025-07-08/2025-07-11. Los Alamitos: IEEE Computer Society, 2025. s. 1905-1910. ISSN 2836-3787. ISBN 979-8-3315-7435-2. DOI 10.1109/COMPSAC65507.2025.00262.

ZOULA, M. a J. FAIGL. Code-based Design for Consistent Prototyping, Manufacture and Physical Modeling of Multimodal Robots. In: 2025 European Conference on Mobile Robots Conference Proceedings. 12th European Conference on Mobile Robots, Padua, 2025-09-02/2025-09-05. IEEE, 2025. ISSN 2767-8733. ISBN 979-8-3315-2705-1. DOI 10.1109/ECMR65884.2025.11163191. Dostupné z: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11163191

KRUTSKÝ, M. et al. Dimensions of Explainability in AI Alignment. In: Proceedings of the International Student Scientific Conference POSTER – 29/2025. 29th International Student Scientific Conference, POSTER 2025, Praha, 2025-05-22. Praha: ČVUT. Fakulta elektrotechnická, 2025. ISBN 978-80-01-07422-0. Dostupné z: https://poster2025.sciencesconf.org/data/pages/POSTER_2025.pdf

DECKEROVÁ, J. a J. FAIGL. Lower-bound Solutions to the Touring Regions Problem with Polygonal Obstacles and Disk-shaped Regions. In: 2025 European Conference on Mobile Robots Conference Proceedings. 12th European Conference on Mobile Robots, Padua, 2025-09-02/2025-09-05. IEEE, 2025. s. 1-6. ISSN 2767-8733. ISBN 979-8-3315-2705-1. DOI 10.1109/ECMR65884.2025.11162978. Dostupné z: https://ieeexplore.ieee.org/document/11162978

DRABENT, K. a V. LISÝ. Direct Optimization of Portfolios of Counter Strategies. In: Proceedings of the 2025 7th International Conference on Distributed Artificial Intelligence. 7th International Conference on Distributed Artificial Intelligence, London, 2025-11-21/2025-12-24. New York: Association for Computing Machinery, 2025. s. 67-82. ISBN 979-8-4007-2275-2. DOI 10.1145/3772429.3772437.

KRUTSKÝ, M. et al. XAI Desiderata for Trustworthy AI: Insights from the AI Act. In: FØLSTAD, A. et al., eds. Proceedings of TRUST-AI 2025 – the European Workshop on Trustworthy AI. The European Workshop on Trustworthy AI 2025, Bologna, 2025-10-25/2025-10-26. Aachen: CEUR Workshop Proceedings, 2025. s. 180-187. ISSN 1613-0073. Dostupné z: https://ceur-ws.org/Vol-4132/short12.pdf

REKABI-BANA, F. et al. Robust Vibration Attenuation for Autonomous Robotic Observation Systems. In: IFAC-PapersOnLine. 10th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2025, Paris, 2025-07-15/2025-07-18. Linz: Elsevier BV, 2025. s. 251-256. sv. 59. ISSN 2405-8963. DOI 10.1016/j.ifacol.2025.10.172. Dostupné z: https://www.sciencedirect.com/science/article/pii/S2405896325015654

HERYNEK, J. a S. EDELKAMP. Risk-Aware On-the-Fly Solving of Physical Vehicle Routing Problems. In: Communications in Computer and Information Science. 4th Workshop on Agents and Robots for reliable Engineered Autonomy, Santiago de Compostela, 2024-10-19. Basel: Springer Nature Switzerland AG, 2025. s. 1-20. ISSN 1865-0929. ISBN 978-3-031-73179-2. DOI 10.1007/978-3-031-73180-8_1.

KRUTSKÝ, M. et al. Binarizing Physics-Inspired GNNs for Combinatorial Optimization. In: 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025). 28th European Conference on Artificial Intelligence, Bologna, 2025-10-27/2025-10-30. Amsterdam: IOS Press, 2025. s. 2017-2024. Frontiers in Artificial Intelligence and Applications. sv. 413. ISSN 1879-8314. ISBN 978-1-64368-631-8. DOI 10.3233/FAIA251038. Dostupné z: https://ebooks.iospress.nl/doi/10.3233/FAIA251038

KUBÍK, J., A. RIŠKOVÁ a J. FAIGL. Inchworm-like Robot Locomotion using Off-the-Shelf 3D-printable Anisotropic Friction. In: 12th International Symposium on Adaptive Motion of Animals and Machines (AMAM 2025). Darmstadt, 2025-07-07/2025-07-11. Darmstadt: Universitäts- und Landesbibliothek Darmstadt, 2025. s. 1-3. DOI 10.26083/tuprints-00030958. Dostupné z: https://tuprints.ulb.tu-darmstadt.de/entities/publication/3f569474-1f6f-4be8-9f65-8dc177cb7a8a

RIŠKOVÁ, A., J. KUBÍK a J. FAIGL. Automated Evaluation of Anisotropic Friction Pads. In: 12th International Symposium on Adaptive Motion of Animals and Machines (AMAM 2025). Darmstadt, 2025-07-07/2025-07-11. Darmstadt: Universitäts- und Landesbibliothek Darmstadt, 2025. DOI 10.26083/tuprints-00030932. Dostupné z: https://tuprints.ulb.tu-darmstadt.de/entities/publication/a11edd15-50ce-4827-a235-d69cf68f2ea4

SZADKOWSKI, R. a J. FAIGL. Interpretable Active Inference Gait Control Learning. In: 2025 IEEE International Conference on Robotics and Automation (ICRA). 2025 IEEE International Conference on Robotics and Automation (ICRA 2025), Atlanta, 2025-05-19/2025-05-23. Vienna: IEEE Industrial Electronic Society, 2025. s. 9630-9636. ISSN 1050-4729. ISBN 979-8-3315-4139-2. DOI 10.1109/ICRA55743.2025.11128724. Dostupné z: https://ieeexplore.ieee.org/document/11128724

KRUTSKÝ, M. et al. Assessing Explainability Methods for AI Safety Governance. In: Large-Scale Risks of AI: Control, Governance, and Ethics. International Conference on Large-Scale AI Risks, Leuven, 2025-05-26/2025-05-28. KU Leuven, 2025. s. 21-22. Dostupné z: https://www.kuleuven.be/ethics-kuleuven/chair-ai/conference-ai-risks/xrisk-book_of_abstracts-1.pdf

ULLRICH, H. a J. DRCHAL. AIC CTU@FEVER 8: On-premise fact checking through long context RAG. In: Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER). The Eighth FEVER Workshop, Vídeň, 2025-07-31. Stroudsburg: Association for Computational Linguistics (ACL), 2025. s. 274-280. ISBN 978-1-959429-53-1. DOI 10.18653/v1/2025.fever-1.22.

NĚMEČEK, J., T. PEVNÝ a J. MAREČEK. Generating Likely Counterfactuals Using Sum-Product Networks. In: LEARNING REPRESENTATIONS. INTERNATIONAL CONFERENCE. 13TH 2025. (ICLR 2025). The Thirteenth International Conference on Learning Representations - ICLR 2025, Singapore EXPO, 2025-04-24/2025-04-28. International Conference on Learning Representations, 2025. s. 74233-74264. ISBN 9798331320850. Dostupné z: https://openreview.net/forum?id=rGyi8NNqB0

NĚMEČEK, J. et al. Bias Detection via Maximum Subgroup Discrepancy. In: KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, 2025-08-03/2025-08-07. New York: Association for Computing Machinery, 2025. s. 2174-2185. ISSN 2154-817X. ISBN 979-8-4007-1454-2. DOI 10.1145/3711896.3736857.

SLADIĆ, M. et al. VelLMes: A High-Interaction AI-Based Deception Framework. In: Proceedings of the 10th IEEE European Symposium on Security and Privacy Workshops. 10th IEEE European Symposium on Security and Privacy, Venice, 2025-06-30/2025-07-04. Cannes: IEEE Computer Society, 2025. s. 671-679. ISSN 2768-0657. ISBN 979-8-3315-9546-3. DOI 10.1109/EuroSPW67616.2025.00082. Dostupné z: https://ieeexplore.ieee.org/abstract/document/11129519

MILEC, D., V. KOVAŘÍK a V. LISÝ. Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games. In: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems. 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-25), Detroit, 2025-05-19/2025-05-23. County of Richland: IFAAMAS, 2025. s. 2675-2677. ISSN 1558-2914. ISBN 979-8-4007-1426-9. Dostupné z: https://www.ifaamas.org/Proceedings/aamas2025/pdfs/p2675.pdf

HORČÍK, R. Action Costs Prediction by Multiplicative Weights Update. In: 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025). 28th European Conference on Artificial Intelligence, Bologna, 2025-10-27/2025-10-30. Amsterdam: IOS Press, 2025. s. 4702-4709. Frontiers in Artificial Intelligence and Applications. sv. 413. ISSN 1879-8314. ISBN 978-1-64368-631-8. DOI 10.3233/FAIA251376. Dostupné z: https://ebooks.iospress.nl/volumearticle/76312

TOMARAS, D. et al. AutoFairML: An Automated Middleware for Fairness Auditing in Real-world AI Pipelines. In: Proceedings - 2025 IEEE 45th International Conference on Distributed Computing Systems Workshops. IEEE 45TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS, Glasgov, 2025-07-20/2025-07-23. Vienna: IEEE Industrial Electronic Society, 2025. s. 261-266. ISSN 1545-0678. ISBN 979-8-3315-1726-7. DOI 10.1109/ICDCSW63273.2025.00050.

HAJIZADEH, M. et al. DeepRed: A Deep Learning-Powered Command and Control Framework for Multi-Stage Red Teaming Against ML-based Network Intrusion Detection Systems. In: Proceedings of the 19th USENIX Conference on Offensive Technologies. WOOT '25: Proceedings of the 19th USENIX Conference on Offensive Technologies, seattle, 2025-09-25/2025-09-27. The USENIX Association, 2025. s. 103-127. 2025. ISBN 978-1-939133-50-2.

NIU, M. et al. Joint Problems in Learning Multiple Dynamical Systems. In: 2025 61st Allerton Conference on Communication, Control, and Computing Proceedings. 2025 61st Allerton Conference on Communication, Control, and Computing, Urbana, 2025-09-17/2025-09-19. Urbana: University of Illinois Library System, 2025. s. 1-8. ISSN 2836-4503. Dostupné z: https://www.ideals.illinois.edu/items/137362

HORČÍK, R. et al. State Encodings for GNN-Based Lifted Planners. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence. 39th AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, 2025-02-27/2025-03-02. Menlo Park: AAAI Press, 2025. s. 26525-26533. sv. 39. ISSN 2159-5399. ISBN 978-1-57735-897-8. DOI 10.1609/aaai.v39i25.34853.

Dizertace

RIGAKI, M. Offensive Applications of Machine Learning in Cybersecurity. Praha: Datum obhajoby 2025-12-04. Doktorská práce (Ph.D.). České vysoké učení technické v Praze. Vedoucí práce S. GARCÍA.