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Publications 2023

Papers in WoS Journals

RYŠAVÝ, P. and F. ŽELEZNÝ. Reference-free phylogeny from sequencing data. BioData Mining. 2023, 2023(16), ISSN 1756-0381. DOI 10.1186/s13040-023-00329-x.

KUNGURTSEV, V., et al. Decentralized Bayesian Learning with Metropolis-adjusted Hamiltonian Monte Carlo. Machine Learning. 2023, 112(8), 2791-2819. ISSN 0885-6125. DOI 10.1007/s10994-023-06345-6.

TRSOVA, I., et al. Expression of Circular RNAs in Myelodysplastic Neoplasms and their Association with Mutations in the Splicing Factor Gene SF3B1. Molecular Oncology. 2023, 17(12), 2565-2583. ISSN 1574-7891. DOI 10.1002/1878-0261.13486.

HUBÁČEK, O. and G.S. ŠÍR. Beating the market with a bad predictive model. International Journal of Forecasting. 2023, 39(2), 691-719. ISSN 0169-2070. DOI 10.1016/j.ijforecast.2022.02.001.

KUNGURTSEV, V. and J. JASCHKE. Pathfollowing for Parametric Mathematical Programs with Complementarity Constraints. Optimization and Engineering. 2023, 24(4), 2795-2826. ISSN 1389-4420. DOI 10.1007/s11081-023-09794-z.

AI, J., O. KUŽELKA, and Y. WANG. Hoeffding-Serfling Inequality for U-Statistics Without Replacement. JOURNAL OF THEORETICAL PROBABILITY. 2023, 36(1), 390-408. ISSN 0894-9840. DOI 10.1007/s10959-022-01169-x.

BREMEN, T. and O. KUŽELKA. Lifted Inference with Tree Axioms. Artificial Intelligence. 2023, 324 ISSN 0004-3702. DOI 10.1016/j.artint.2023.103997.

KUNGURTSEV, V., et al. Decentralized Asynchronous Non-convex Stochastic Optimization on Directed Graphs. IEEE Transactions on Control of Network Systems. 2023, 10(4), 1796-1804. ISSN 2325-5870. DOI 10.1109/TCNS.2023.3242043.

SAVELEVA, L., et al. Transcriptomic Alterations in the Olfactory Bulb Induced by Exposure to Air Pollution: Identification of Potential Biomarkers and Insights into Olfactory System Function. Environmental Toxicology and Pharmacology. 2023, 104 ISSN 1382-6689. DOI 10.1016/j.etap.2023.104316.

KUNGURTSEV, V., et al. On the Ergodic Control of Ensembles in the Presence of Non-linear Filters. Automatica. 2023, 152 ISSN 0005-1098. DOI 10.1016/j.automatica.2023.110946.

HRUBA, P., et al. Novel Transcriptomic Signatures Associated with Premature Kidney Allograft Failure. EBioMedicine. 2023, 96 ISSN 2352-3964. DOI 10.1016/j.ebiom.2023.104782.

LE, A.V., et al. Improved recovery and annotation of genes in metagenomes through the prediction of fungal introns. Molecular Ecology Resources. 2023, 23(8), 1800-1811. ISSN 1755-098X. DOI 10.1111/1755-0998.13852.

KUNGURTSEV, V. and V. SHIKHMAN. Regularized Quasi-monotone Method for Stochastic Optimization. Optimization Letters. 2023, 17(5), 1215-1228. ISSN 1862-4472. DOI 10.1007/s11590-022-01931-4.

KUMAR, N., O. KUŽELKA, and L. DE RAEDT. First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs. Journal of Artificial Intelligence Research. 2023, 77 683-735. ISSN 1076-9757. DOI 10.1613/jair.1.13657.

Books, Book Chapters and Lecture Notes

ŠÍR, G., F. ŽELEZNÝ, and O. KUŽELKA. Lifted Relational Neural Networks: from Graphs to Deep Relational Learning. In: A Compendium of Neuro-Symbolic Artificial Intelligence. Amsterdam: IOS Press, 2023. p. 308-336. ISSN 0922-6389. ISBN 978-1-64368-406-2. DOI 10.3233/FAIA230147.

Conference Proceedings

VAHIDIAN, S., et al. Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, 2023-02-07/2023-02-14. Menlo Park: AAAI Press, 2023. p. 10043-10052. ISSN 2374-3468. ISBN 978-1-57735-880-0. DOI 10.1609/aaai.v37i8.26197. Available from: https://ojs.aaai.org/index.php/AAAI/article/view/26197

ŠÍR, G., O. KUŽELKA, and F. ŽELEZNÝ. Beyond Graph Neural Networks with Lifted Relational Neural Networks. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, 2023-02-07/2023-02-14. Menlo Park: AAAI Press, 2023. ISSN 2374-3468. ISBN 978-1-57735-880-0. DOI 10.48448/4eps-hs54. Available from: https://underline.io/lecture/69510-beyond-graph-neural-networks-with-lifted-relational-neural-networks

WANG, Y., et al. On Exact Sampling in the Two-Variable Fragment of First-Order Logic. In: 2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS). 38th Annual ACM/IEEE Symposium on Logic in Computer Science, Boston, 2023-06-26/2023-06-29. IEEE Xplore, 2023. ISSN 2575-5528. ISBN 979-8-3503-3587-3. DOI 10.1109/LICS56636.2023.10175742. Available from: https://ieeexplore.ieee.org/document/10175742

KUŽELKA, O. Counting and Sampling Models in First-Order Logic. In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. Thirty-Second International Joint Conference on Artificial Intelligence, Macao, 2023-08-19/2023-08-25. International Joint Conferences on Artificial Intelligence Organization, 2023. p. 7020-7025. ISBN 978-1-956792-03-4. DOI 10.24963/ijcai.2023/801. Available from: https://www.ijcai.org/proceedings/2023/801

SVATOŠ, M., et al. On Discovering Interesting Combinatorial Integer Sequences. In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. Thirty-Second International Joint Conference on Artificial Intelligence, Macao, 2023-08-19/2023-08-25. International Joint Conferences on Artificial Intelligence Organization, 2023. p. 3338-3346. ISBN 978-1-956792-03-4. DOI 10.24963/ijcai.2023/372. Available from: https://www.ijcai.org/proceedings/2023/372

TÓTH, J. and O. KUŽELKA. Lifted Inference with Linear Order Axiom. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, 2023-02-07/2023-02-14. Menlo Park: AAAI Press, 2023. p. 12295-12304. ISSN 2374-3468. ISBN 978-1-57735-880-0. DOI 10.1609/aaai.v37i10.26449. Available from: https://ojs.aaai.org/index.php/AAAI/article/view/26449