13136 / 13143 - Intelligent Data Analysis

Publikační činnost 2024

Články v časopisech WoS

BELLON, A. et al. Time-Varying Semidefinite Programming: Path Following a Burer–Monteiro Factorization. SIAM Journal on Optimization. 2024, 34(1), 1-26. ISSN 1052-6234. DOI 10.1137/22M1529762.

SIMA, M. et al. Gene Expression Profiles and Protein-protein Interaction Networks in THP-1 Cells Exposed to Metal-based Nanomaterials. Environmental Toxicology and Pharmacology. 2024, 108 ISSN 1382-6689. DOI 10.1016/j.etap.2024.104469.

KUNGURTSEV, V. et al. Iteration Complexity of Variational Quantum Algorithms. Quantum. 2024, 8 1-42. ISSN 2521-327X. DOI 10.22331/q-2024-10-10-1495. Dostupné z: https://quantum-journal.org/papers/q-2024-10-10-1495/#

SIMOVÁ, Z. et al. Transcriptome Changes in Humans Acutely Exposed to Nanoparticles During Grinding of Dental Nanocomposites. Nanomedicine. 2024, 19(17), 1511-1523. ISSN 1743-5889. DOI 10.1080/17435889.2024.2362611.

SHAFIEI, A., V. KUNGURTSEV a J. MAREČEK. Trilevel and multilevel optimization using monotone operator theory. Mathematical Methods of Operations Research. 2024, 99(1-2), 77-114. ISSN 1432-2994. DOI 10.1007/s00186-024-00852-5.

WANG, Y. et al. Lifted Algorithms for Symmetric Weighted First-order Model Sampling. Artificial Intelligence. 2024, 331 ISSN 0004-3702. DOI 10.1016/j.artint.2024.104114.

JUNG, P., G. MARRA a O. KUŽELKA. Quantified Neural Markov Logic Networks. International Journal of Approximate Reasoning. 2024, 171 ISSN 0888-613X. DOI 10.1016/j.ijar.2024.109172.

DIOUANE, Y. et al. Inexact Direct-search Methods for Bilevel Optimization Problems. Computational Optimization and Applications. 2024, 88(2), 469-490. ISSN 0926-6003. DOI 10.1007/s10589-024-00567-7.

KUNGURTSEV, V., F. RINALDI a D. ZEFFIRO. Retraction-Based Direct Search Methods for Derivative Free Riemannian Optimization. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS. 2024, 203(2), 1710-1735. ISSN 0022-3239. DOI 10.1007/s10957-023-02268-3.

SINGH, N.K., I. NECOARA a V. KUNGURTSEV. Mini-batch Stochastic Subgradient for Functional Constrained Optimization. Optimization. 2024, 73(7), 2159-2185. ISSN 0233-1934. DOI 10.1080/02331934.2023.2189015.

Články v ostatních periodikách

ŠÍR, G. A Computational Perspective on Neural-Symbolic Integration. Neurosymbolic Artificial Intelligence. 2024, 1(1), 1-12. ISSN 2949-8732. DOI 10.3233/NAI-240672. Dostupné z: https://content.iospress.com/articles/neurosymbolic-artificial-intelligence/nai240672

KUNC, V. a J. KLÉMA. Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks. ArXiv.org. 2024, ISSN 2331-8422. DOI 10.48550/arXiv.2402.09092. Dostupné z: https://arxiv.org/abs/2402.09092

Stati ve sbornících konferencí

HORČÍK, R. a G. ŠÍR. Expressiveness of Graph Neural Networks in Planning Domains. In: Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling. The 34th International Conference on Automated Planning and Scheduling (ICAPS 2024), Banff, 2024-06-01/2024-06-06. Menlo Park, California: AAAI Press, 2024. s. 281-289. sv. 34. ISSN 2334-0835. ISBN 978-1-57735-889-3. DOI 10.1609/icaps.v34i1.31486.

RYŠAVÝ, P., J. KLÉMA a M.D. MERKEROVÁ. GPACDA – circRNA-Disease Association Prediction with Generating Polynomials. In: ROJAS, I.R. et al., eds. Bioinformatics and Biomedical Engineering. IWBBIO, Gran Canaria, 2024-07-15/2024-07-17. Springer, Cham, 2024. s. 33-48. Lecture Notes in Computer Science. sv. 14848 LNBI. ISSN 0302-9743. ISBN 978-3-031-64629-4. DOI 10.1007/978-3-031-64629-4_3.

CHATTERJEE, B., V. KUNGURTSEV a D. ALISTRAH. Federated SGD with Local Asynchrony. In: 2024 IEEE 44th International Conference on Distributed Computing Systems. 44th International Conference on Distributed Computing Systems, New Jersy, 2024-07-23/2024-07-26. IEEE Xplore, 2024. s. 857-868. ISSN 2575-8411. ISBN 979-8-3503-8605-9. DOI 10.1109/ICDCS60910.2024.00084. Dostupné z: https://ieeexplore.ieee.org/abstract/document/10631076

CASCIOLI, L. et al. Faster Repeated Evasion Attacks in Tree Ensembles. In: Proceedings of the NeurIPS. NeurIPS 2024 The Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, 2024-12-10/2024-12-15. Neural Information Processing Systems (NIPS) Foundation, 2024. ISSN 1049-5258. ISBN 979-8-3313-1438-5.

KUŽELKA, O. Model Counting and Sampling in First-Order Logic. In: Proceedings of the 37th International Workshop on Description Logics. Bergen, 2024-06-18/2024-06-21. CEUR-WS.org, 2024. s. 7020-7025. sv. 3739. ISSN 1613-0073.

TÓTH, J. a O. KUŽELKA. Complexity of Weighted First-Order Model Counting in the Two-Variable Fragment with Counting Quantifiers: A Bound to Beat. In: Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning. 21st International Conference on Principles of Knowledge Representation and Reasoning, Hanoi, 2024-11-02/2024-11-08. International Joint Conferences on Artificial Intelligence Organization, 2024. s. 676-686. ISSN 2334-1033. ISBN 978-1-956792-05-8. DOI 10.24963/kr.2024/64. Dostupné z: https://proceedings.kr.org/2024/64/

MENG, Q. et al. A More Practical Algorithm for Weighted First-Order Model Counting with Linear Order Axiom. In: Frontiers in Artificial Intelligence and Applications. 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, Santiago de Compostela, 2024-10-19/2024-10-24. Oxford: IOS Press, 2024. s. 3145-3154. sv. 392. ISSN 0922-6389. DOI 10.3233/FAIA240858.