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Publications 2022

Papers in WoS Journals

BERGOU, E.H., et al. A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results. SIAM/ASA Journal on Uncertainty Quantification. 2022, 10(1), 507-536. ISSN 2166-2525. DOI 10.1137/20M1366253. Available from: https://epubs.siam.org/doi/epdf/10.1137/20M1366253

AI, J., O. KUŽELKA, and Y. WANG. Hoeffding and Bernstein Inequalities for U-statistics without Replacement. Statistics and Probability Letters. 2022, 187 ISSN 0167-7152. DOI 10.1016/j.spl.2022.109528.

KUNGURTSEV, V. Distributed Stochastic Nonsmooth Nonconvex Optimization. Operations Research Letters. 2022, 50(6), 627-631. ISSN 0167-6377. DOI 10.1016/j.orl.2022.09.001.

KAISRLIKOVA, M., et al. RUNX1 Mutations Contribute to the Progression of MDS Due to Disruption of Antitumor Cellular Defense: A Study on Patients with Lower-risk MDS. LEUKEMIA. 2022, 1898-1906. ISSN 0887-6924. DOI 10.1038/s41375-022-01584-3.

HUBÁČEK, O., G. ŠOUREK, and F. ŽELEZNÝ. Forty years of score-based soccer match outcome prediction: an experimental review. IMA Journal of Management Mathematics. 2022, 33(1), 1-18. ISSN 1471-678X. DOI 10.1093/imaman/dpab029.

IATSIUK, V., et al. Semantic Clustering Analysis of E3-ubiquitin Ligases in Gastrointestinal Tract Defines Genes Ontology Clusters with Tissue Expression Patterns. BMC GASTROENTEROLOGY. 2022, 22(1), ISSN 1471-230X. DOI 10.1186/s12876-022-02265-2. Available from: https://bmcgastroenterol.biomedcentral.com/articles/10.1186/s12876-022-02265-2

KUMAR, N., O. KUŽELKA, and L.D. RAEDT. Learning Distributional Programs for Relational Autocompletion. Theory and Practice of Logic Programming. 2022, 22(1), 81-114. ISSN 1471-0684. DOI 10.1017/S1471068421000144.

SIMA, M., et al. The Impact of Extractable Organic Matter from Gasoline and Alternative Fuel Emissions on Bronchial Cell Models. Toxicology in Vitro. 2022, 80 ISSN 0887-2333. DOI 10.1016/j.tiv.2022.105316.

MATIAS, J., V. KUNGURTSEV, and M. EGAN. Simultaneous Online Model Identification and Production Optimization Using Modifier Adaptation. Journal of Process Control. 2022, 110 110-120. ISSN 0959-1524. DOI 10.1016/j.jprocont.2021.12.009.

FACHINEI, F., et al. Diminishing Stepsize Methods for Nonconvex Composite Problems Via Ghost Penalties: From the General to the Convex Regular Constrained Case. Optimization Methods and Software. 2022, 37(4), 1242-1268. ISSN 1055-6788. DOI 10.1080/10556788.2020.1854253.

RYŠAVÝ, P., J. KLÉMA, and M. MERKEROVÁ. circGPA: circRNA functional annotation based on probability-generating functions. BMC Bioinformatics. 2022, 2022(23), 392-414. ISSN 1471-2105. DOI 10.1186/s12859-022-04957-8. Available from: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-022-04957-8

MERKEROVA, M.D., et al. Noncoding RNAs and Their Response Predictive Value in Azacitidine-treated Patients With Myelodysplastic Syndrome and Acute Myeloid Leukemia With Myelodysplasia-related Changes. Cancer Genomics & Proteomics. 2022, 19(2), 205-228. ISSN 1109-6535. DOI 10.21873/cgp.20315.

Papers in Other Journals

BERGOU, E., et al. A Subsampling Line-Search Method with Second-Order Results. INFORMS JOURNAL ON OPTIMIZATION. 2022, 4(4), 403-425. ISSN 2575-1484. DOI 10.1287/ijoo.2022.0072.

AMBROZ, A., et al. Oxidative Stress and Antioxidant Response in Populations of the Czech Republic Exposed to Various Levels of Environmental Pollutants. International Journal of Environmental Research and Public Health. 2022, 19(6), ISSN 1660-4601. DOI 10.3390/ijerph19063609. Available from: https://www.mdpi.com/1660-4601/19/6/3609/htm

SCHEVCHENKO, A., V. KUNGURTSEV, and M. MONDELLI. Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks. Journal of Machine Learning Research. 2022, 23(130), 1-55. ISSN 1532-4435. DOI 10.48550/arXiv.2111.02278.

Books, Book Chapters and Lecture Notes

ŠÍR, G. Deep Learning with Relational Logic Representations. Amsterdam: IOS Press, 2022. ISSN 1879-8314. ISBN 978-1-64368-343-0.

Conference Proceedings

JUNG, P. and O. KUŽELKA. Graph Generation with Graphon Generative Adversarial Networks. In: Proceedings of The 31st International Conference on Inductive Logic Programming. 31st International Conference on Inductive Logic Programming, Cumberland Lodge, 2022-09-28/2022-09-30. Proceedings of Machine Learning Research, 2022.

ŠÍR, G., F. ŽELEZNÝ, and O. KUŽELKA. Learning with Molecules beyond Graph Neural Networks. In: GRAPHS AND MORE COMPLEX STRUCTURES FOR LEARNING AND REASONING workshop @ AAAI. Massachusetts: OpenReview.net / University of Massachusetts, 2022. Available from: https://sites.google.com/view/gclr2022/accepted-papers

BARVÍNEK, J., et al. Automatic Conjecturing of P-Recursions Using Lifted Inference. In: Inductive Logic Programming. 30th International Conference on Inductive Logic Programming, Virtual - Online, 2021-10-25/2021-10-27. Springer Science and Business Media Deutschland GmbH, 2022. p. 17-25. ISSN 0302-9743. ISBN 978-3-030-97453-4. DOI 10.1007/978-3-030-97454-1_2.

KUNC, V. and J. KLÉMA. On Functional Annotation with Gene Co-expression Networks. In: Proceedings of The 2022 IEEE International Conference on Bioinformatics and Biomedicine. 2022 IEEE International Conference on Bioinformatics and Biomedicine, Las Vegas, 2022-12-06/2022-12-08. IEEE Xplore, 2022. p. 3055-3062. ISBN 978-1-6654-6819-0. DOI 10.1109/BIBM55620.2022.9995542. Available from: https://ieeexplore.ieee.org/document/9995542

KRISHNAMOORTHY, D. and V. KUNGURTSEV. A Sensitivity Assisted Alternating Directions Method of Multipliers for Distributed Optimization. In: Proceedings of 61st IEEE Conference on Decision and Control. 61st IEEE Conference on Decision and Control, Cancún, 2022-12-06/2022-12-09. Piscataway: IEEE, 2022. p. 295-300. ISSN 2576-2370. ISBN 978-1-6654-6761-2. DOI 10.1109/CDC51059.2022.9993352. Available from: https://ieeexplore.ieee.org/abstract/document/9993352

SVATOŠ, M., et al. Learning to Generate Molecules From Small Datasets Using Neural Markov Logic Networks. In: International Joint Conference on Learning & Reasoning. Cumberland Lodge, The Great Park Windsor, 2022-09-28/2022-09-30. Cham: Springer, 2022.

WANG, Y., et al. Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence. 36th AAAI Conference on Artificial Intelligence (AAAI-22), - virtual, 2022-02-22/2022-03-01. Menlo Park: AAAI Press, 2022. p. 10070-10079. ISSN 2159-5399. ISBN 978-1-57735-876-3. DOI 10.1609/aaai.v36i9.21246.