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Publications 2021

Papers in WoS Journals

LÍBALOVÁ, H., et al. Transcription Profiles in BEAS-2B Cells Exposed to Organic Extracts from Particulate Emissions Produced by a Port-fuel Injection Vehicle, Fueled with Conventional Fossil Gasoline and Gasoline-ethanol Blend. Mutation Research - GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS. 2021, 872 ISSN 1383-5718. DOI 10.1016/j.mrgentox.2021.503414.

KUNGURTSEV, V. and F. RINALDI. A Zeroth Order Method for Stochastic Weakly Convex Optimization. Computational Optimization and Applications. 2021, 80 731-753. ISSN 1573-2894. DOI 10.1007/s10589-021-00313-3. Available from: https://link.springer.com/article/10.1007/s10589-021-00313-3#Abs1

HYZDALOVA, M., et al. A Prolonged Exposure of Human Lung Carcinoma Epithelial Cells to Benzo[a]pyrene Induces p21-dependent Epithelial-to-mesenchymal Transition (EMT)-like Phenotype. Chemosphere. 2021, 263 ISSN 0045-6535. DOI 10.1016/j.chemosphere.2020.128126.

FACCHINEI, F., et al. Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity. Mathematics of Operations Research. 2021, 46(2), 595-627. ISSN 0364-765X. DOI 10.1287/moor.2020.1079.

KUNC, V. and J. KLÉMA. On Transformative Adaptive Activation Functions in Neural Networks for Gene Expression Inference. PLoS ONE. 2021, 16(1), 1-27. ISSN 1932-6203. DOI 10.1371/journal.pone.0243915. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243915

BERGOU, E., Y. DIOUANE, and V. KUNGURTSEV. Complexity Iteration Analysis for Strongly Convex Multi-objective Optimization Using a Newton Path-following Procedure. Optimization Letters. 2021, 15(4), 1215-1227. ISSN 1862-4472. DOI 10.1007/s11590-020-01623-x.

ŠÍR, G., F. ŽELEZNÝ, and O. KUŽELKA. Beyond graph neural networks with lifted relational neural networks. Machine Learning. 2021, 2021(3), 1695-1738. ISSN 1573-0565. DOI 10.1007/s10994-021-06017-3. Available from: https://link.springer.com/article/10.1007%2Fs10994-021-06017-3

BERGOU, E.H., et al. A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. SIAM Journal on Scientific Computing. 2021, 43(4), S743-S766. ISSN 1064-8275. DOI 10.1137/20M1349138.

UHRÍN, M., et al. Optimal sports betting strategies in practice: an experimental review. IMA Journal of Management Mathematics. 2021, 34(4), 465-489. ISSN 1471-678X. DOI 10.1093/imaman/dpaa029.

OSICKOVA, K., et al. Predictive Potential of Flow Cytometry Crossmatching in Deceased Donor Kidney Transplant Recipients Subjected to Peritransplant Desensitization. Frontiers in Medicine. 2021, 8 1-8. ISSN 2296-858X. DOI 10.3389/fmed.2021.780636. Available from: https://www.frontiersin.org/articles/10.3389/fmed.2021.780636/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Medicine&id=780636

CERVENA, T., et al. Ordinary Gasoline Emissions Induce a Toxic Response in Bronchial Cells Grown at Air-Liquid Interface. International Journal of Molecular Sciences. 2021, 22(1), 1-22. ISSN 1422-0067. DOI 10.3390/ijms22010079. Available from: https://www.mdpi.com/1422-0067/22/1/79

KUŽELKA, O. Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers. Journal of Artificial Intelligence Research. 2021, 70 1281-1307. ISSN 1076-9757. DOI 10.1613/jair.1.12320.

Conference Proceedings

NADIRADZE, G., et al. Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent. In: Proceedings of the AAAI Conference on Artificial Intelligence. AAAI 2021: Thirty-Fifth AAAI Conference on Artificial Intelligence, Virtual, 2021-02-02/2021-02-09. Palo Alto, California: Association for the Advancement of Artificial Intelligence (AAAI), 2021. p. 9037-9045. ISSN 2374-3468. ISBN 978-1-57735-866-4. Available from: https://ojs.aaai.org/index.php/AAAI/article/view/17092

VAN BREMEN, T. and O. KUŽELKA. Lifted Inference with Tree Axioms. In: Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning. tThe 8th International Conference on Principles of Knowledge Representation and Reasoning, Virtual conference, 2021-11-03/2021-11-12. International Joint Conferences on Artificial Intelligence Organization, 2021. p. 599-608. ISSN 2334-1033. ISBN 978-1-956792-99-7. DOI 10.24963/kr.2021/57.

KUNGURTSEV, V., et al. Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees. In: Proceedings of the AAAI Conference on Artificial Intelligence. AAAI 2021: Thirty-Fifth AAAI Conference on Artificial Intelligence, Virtual, 2021-02-02/2021-02-09. Palo Alto, California: Association for the Advancement of Artificial Intelligence (AAAI), 2021. p. 8209-8216. ISSN 2159-5399. ISBN 978-1-57735-866-4.

MARRA, G. and O. KUŽELKA. Neural Markov Logic Networks. In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. The Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, Online, 2021-07-27/2021-07-30. ML Research Press, 2021. p. 908-917. ISSN 2640-3498.

KUMAR, N. and O. KUŽELKA. Context-Specific Likelihood Weighting. In: Proceedings of Machine Learning Research. The 24th International Conference on Artificial Intelligence and Statistics, Virtual konference, 2021-04-13/2021-04-15. Proceedings of Machine Learning Research, 2021. 130. ISSN 2640-3498. Available from: http://proceedings.mlr.press/v130/kumar21b.html

ZÁVODNÁ, T., et al. Toxic responses in human lung epithelial cells (BEAS-2B) exposed to particulate matter exhaust emissions from gasoline and biogasoline. In: NANOCON Conference Proceedings - International Conference on Nanomaterials. Nanocon 2020, Brno, 2020-10-21/2020-10-23. Ostrava: TANGER, 2021. p. 453-458. ISSN 2694-930X. ISBN 978-80-87294-98-7. DOI 10.37904/nanocon.2020.3763. Available from: https://www.confer.cz/nanocon/2020/3763-toxic-responses-in-human-lung-epithelial-cells-beas-2b-exposed-to-particulate-matter-exhaust-emissions-from-gasoline-and-biogasoline

VAN BREMEN, T. and O. KUŽELKA. Faster Lifting for Two-variable Logic Using Cell Graphs. In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. The Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, Online, 2021-07-27/2021-07-30. ML Research Press, 2021. p. 1393-1402. ISSN 2640-3498.

ŠÍR, G., F. ŽELEZNÝ, and O. KUŽELKA. Lossless Compression of Structured Convolutional Models via Lifting. In: International Conference on Learning Representations. Vienna (Virtual Only), 2021-05-04/2021-05-08. Massachusetts: OpenReview.net / University of Massachusetts, 2021. Available from: https://openreview.net/forum?id=oxnp2q-PGL4

WANG, Y., et al. Fast Algorithms for Relational Marginal Polytopes. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. The Thirtieth International Joint Conference on Artificial Intelligence, Montreal, 2021-08-19/2021-09-27. International Joint Conferences on Artificial Intelligence Organization, 2021. p. 4266-4274. ISSN 1045-0823. ISBN 978-0-9992411-9-6. DOI 10.24963/ijcai.2021/586.