Titov R., Hvatov A. Differential equation discovery of robotic swarm as active matter. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2025. Vol. 15243. pp. 213-228.. doi: 10.1007/978-3-031-78977-9_14
Latypov V., Hvatov A. Exploring convolutional KAN architectures with NAS. First Conference of Mathematics of AI (Sirius,Sochi,Russia, Mar 24 2025 ). 2025.
Borisova J., Hvatov A. Evolutionary Manifold Learning for Automated Extraction of Data Topology. GECCO 2025 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2025. pp. 91-92.. doi: 10.1145/3712255.3734266
Zainulabidova Z., Borisova J., Hvatov A. Learning geometry-aware recommender systems with manifold regularization. RecSys '25: Proceedings of the Nineteenth ACM Conference on Recommender Systems. 2025. pp. 1212 - 1216.. doi: https://doi.org/10.1145/3705328.3759323
Solovev G.V., Hvatov A., Petrov O., Kalyuzhnaya A., Klimova A., Nikitin N.O. Evolutionary Optimization for Inverse Problem in Engineering: The Case Study of Defects Shape Reconstruction. Communications in Computer and Information Science. 2024. Vol. 2281. pp. 125-140.. doi: 10.1007/978-3-031-77432-4_9
Bykov N., Hvatov A., Andreeva T., Lukin A.Y., Maslyaev M., Obraztsov N.V., Surov A.V., Boukhanovsky A.V. . Methods for a Partial Differential Equation Discovery: Application to Physical and Engineering Problems. Moscow University Physics Bulletin. 2023. Vol. 78. No. Suppl.1. pp. S256-S265.. doi: 10.3103/S0027134923070032
Ivanchik E., Hvatov A. Directed differential equation discovery using modified mutation and cross-over operators. IEEE Congress on Evolutionary Computation, CEC 2023. 2023. pp. 1-10.. doi: 10.1109/CEC53210.2023.10254047
Klimova A., Nasonov D., Hvatov A., Nikitin N.O., Ivanov S.V., Kalyuzhnaya A.V., Boukhanovsky A. Strategic Trends in Artificial Intelligence Through Impact of Computational Science: What Young Scientists Should Expect. Procedia Computer Science. 2023. Vol. 229. pp. 1-7.. doi: 10.1016/j.procs.2023.12.001
Современные методы оптимизации с примерами на Python
Maslyaev M., Hvatov A. Multiobjective evolutionary discovery of equation-based analytical models for dynamical systems. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Vol. 23. No. 1(143). pp. 97-104.. doi: 10.17586/2226-1494-2023-23-1-97-104
Manconi E., Hvatov A., Sorokin S. Numerical Analysis of Vibration Attenuation and Bandgaps in Radially Periodic Plates. Journal of Vibration Engineering and Technologies. 2023. Vol. 11. No. 6. pp. 2593-2603.. doi: 10.1007/s42417-023-00967-9
Hvatov A., Sorokin S.V. A simple example of the tunnelling effect in periodic elastic structures. European Journal of Mechanics - A/Solids. 2023. Vol. 100. pp. 104807.. doi: 10.1016/j.euromechsol.2022.104807
Hvatov A., Sorokin S. On Unified Formulation of Floquet Propagator in Cartesian and Polar Coordinates. Mechanisms and Machine Science. 2023. Vol. 125. pp. 713-724.. doi: 10.1007/978-3-031-15758-5_73
Borisova J., Titov R., Shakhkyan K., Hvatov A. Forecasting of Sea Ice Concentration using CNN, PDE discovery and Bayesian Networks. Procedia Computer Science. 2023. Vol. 229. pp. 177-187.. doi: 10.1016/j.procs.2023.12.019
Maslyaev M., Hvatov A. Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. GECCO 2023 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2023. pp. 603–606.. doi: 10.1145/3583133.3590601
Hvatov A., Titov R.V. Towards Discovery of the Differential Equations. Doklady Mathematics. 2023. Vol. 108. No. 2. pp. S257-S264.. doi: 10.1134/S1064562423701156
Хватов А.А., Титов Р.В. О задаче устойчивого поиска дифференциальных уравнений. Доклады Российской академии наук. Математика, информатика, процессы управления. 2023. Т. 514. № 2. С. 109-117.. doi: 10.31857/S2686954323601604
Hvatov A. Automated differential equation solver based on the parametric approximation optimization. Mathematics. 2023. Vol. 11. No. 8. pp. 1787.. doi: 10.3390/math11081787
Aminev D., Demyanchuk N., Hvatov A. On a Structure of an Automated Differential Equation Solver Based on Machine Learning Methods. Lecture Notes in Networks and Systems. 2023. Vol. 646. pp. 438–447.. doi: 10.1007/978-3-031-27440-4_42
Bykov N., Obraztsov N.V., Hvatov A., Maslyaev M., Surov A.V. Hybrid modeling of gas-dynamic processes in AC plasma torches. Физика и механика материалов = Materials Physics and Mechanics. 2022. Vol. 50. No. 2. pp. 287-303.. doi: 10.18149/MPM.5022022_9
Шахкян К.А., Литвинцева А.В., Титов Р.В., Хватов А.А. Искусcтвенный интеллект в науке и бизнесе: два полушария одного мозга. XIV Санкт-Петербургский конгресс "Профессиональное образование, наука и инновации в XXI веке": сборник материалов (СПб, 29ноября-1декабря 2022г.). 2022. С. 235-237.
Hvatov A. Data-Driven Approach for the Floquet Propagator Inverse Problem Solution. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2022. pp. 3813-3817.. doi: 10.1109/ICASSP43922.2022.9747567
Schvartsberg J., Hvatov A. Discovery of multivariable algebraic expressions using evolutionary optimization. Procedia Computer Science. 2022. Vol. 212. pp. 230-242.. doi: 10.1016/j.procs.2022.11.007
Nikitin N.O., Revin I., Hvatov A., Vychuzhanin P., Kalyuzhnaya A.V. Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea. Computers and Geosciences. 2022. Vol. 161. pp. 105061.. doi: 10.1016/j.cageo.2022.105061
Maslyaev M., Hvatov A. Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations. IEEE Congress on Evolutionary Computation, CEC 2022. 2022. pp. 1-8.. doi: 10.1109/CEC55065.2022.9870370
Быков Н.Ю., Хватов А.А., Калюжная А.В., Бухановский А.В. Метод восстановления моделей тепломассопереноса по пространственно-временным распределениям параметров. Письма в Журнал технической физики. 2021. Т. 47. № 24. С. 9-12.. doi: 10.21883/PJTF.2021.24.51790.18967
Bykov N., Hvatov A., Kalyuzhnaya A.V., Boukhanovsky A.V. A method of generative model design based on irregular data in application to heat transfer problems. Journal of Physics: Conference Series. 2021. Vol. 1959. No. 1. pp. 012012.. doi: 10.1088/1742-6596/1959/1/012012
Rezaei A., Carcaterra A., Sorokin S.V., Hvatov A., Mezzani F. Propagation of waves in nonlocal-periodic systems. Journal of Sound and Vibration. 2021. Vol. 506. pp. 116156.. doi: 10.1016/j.jsv.2021.116156
Nikitin N.O., Hvatov A., Polonskaia I.S., Kalyuzhnaya A.V., Grigorev G., Wang X., Qian X. Generative design of microfluidic channel geometry using evolutionary approach. GECCO 2021 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2021. pp. 59-60.. doi: 10.1145/3449726.3462740
Maslyaev M., Hvatov A. Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. IEEE Congress on Evolutionary Computation, CEC 2021. 2021. pp. 596-603.. doi: 10.1109/CEC45853.2021.9504712
Hvatov A., Maslyaev M., Polonskaia I.S., Sarafanov M.I., Merezhnikov M., Nikitin N.O. Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models. Communications in Computer and Information Science. 2021. Vol. 1488. pp. 72-85.. doi: 10.1007/978-3-030-91885-9_6
Kalyuzhnaya A.V., Nikitin N.O., Hvatov A., Maslyaev M., Yachmenkov M., Boukhanovsky A.V. Towards generative design of computationally efficient mathematical models with evolutionary learning. Entropy. 2021. Vol. 23. No. 1. pp. 28.. doi: 10.3390/e23010028
Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Partial differential equations discovery with EPDE framework: Application for real and synthetic data (R). Journal of Computational Science. 2021. Vol. 53. pp. 101345.. doi: 10.1016/j.jocs.2021.101345
Merezhnikov M., Hvatov A. Multi-objective closed-form algebraic expressions discovery approach application to the synthetic time-series generation. Procedia Computer Science. 2021. Vol. 193. pp. 285-294.. doi: 10.1016/j.procs.2021.10.029
Kaluzhnaya A.V., Nikitin N.O., Vychuzhanin P., Hvatov A., Boukhanovsky A.V. Automatic Evolutionary Learning of Composite Models With Knowledge Enrichment. GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2020. pp. 43-44.. doi: 10.1145/3377929.3398167
Hvatov A., Sorokin S.V. Analysis of periodicity-induced attenuation effect in a nonlinear waveguide by means of the method of polynomial system resultants. Mechanics Research Communications. 2020. Vol. 103. pp. 103476.. doi: 10.1016/j.mechrescom.2020.103476
Хватов А.А. Анализ бесконечной периодической структуры и ее конечной части с учетом слабой нелинейности. Ученые записки физического факультета Московского университета. 2020. № 1. С. 2011201.
Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Discovery of the data-driven models of continuous metocean process in form of nonlinear ordinary differential equations. Procedia Computer Science. 2020. Vol. 178. pp. 18-26.. doi: 10.1016/j.procs.2020.11.003
Maslyaev M., Hvatov A., Kalyuzhnaya A. Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12138 LNCS. pp. 86-100.. doi: 10.1007/978-3-030-50417-5_7
Hvatov A., Maslyaev M. The data-driven physical-based equations discovery using evolutionary approach. GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2020. pp. 129–130.. doi: 10.1145/3377929.3389943
Калюжная А.В., Никитин Н.О., Вычужанин П.В., Хватов А.А. Технологии прикладного искусcтвенного интеллекта в задачах численного моделирования процессов в океане. Комплексные исследования Мирового океана: материалы V Всероссийской научной конференции молодых ученых (Калининград, 18-22мая 2020г.). 2020. С. 81-82.
Merezhnikov M., Hvatov A. Closed-form algebraic expressions discovery using combined evolutionary optimization and sparse regression approach. Procedia Computer Science. 2020. Vol. 178. pp. 424-433.. doi: 10.1016/j.procs.2020.11.044
Hvatov A., Sorokin S.V. Floquet theory analysis of a weakly non-linear periodic structure. COMPDYN Proceedings. 2019. Vol. 2. pp. 3457-3464.. doi: 10.7712/120119.7159.19401
Maslyaev M., Hvatov A. Discovery of the data-driven differential equation-based models of continuous metocean process. Procedia Computer Science. 2019. Vol. 156. pp. 367-376.. doi: 10.1016/j.procs.2019.08.213
Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Data-driven partial derivative equations discovery with evolutionary approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11540 LNCS. pp. 635-641.. doi: 10.1007/978-3-030-22750-0_61
Khvatov A.A., Nikitin N., Kaluzhnaya A.V., Kosukhin S.S. Adaptation of NEMO-LIM3 model for multigrid high-resolution Arctic simulation. Ocean Modelling. 2019. Vol. 141. pp. 101427.. doi: 10.1016/j.ocemod.2019.101427
Hvatov A., Sorokin S. Assessment of reduced-order models in analysis of Floquet modes in an infinite periodic elastic layer. Journal of Sound and Vibration. 2019. Vol. 440. pp. 332-345.. doi: 10.1016/j.jsv.2018.10.034
Обнаружение аномалий в результатах гидрометеорологического моделирования с использованием сверточных нейронных сетей
Nikitin N.O., Deeva I., Vychuzhanin P., Kalyuzhnaya A.V., Hvatov A., Kovalchuk S.V. Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. 2019. pp. 1583-1591.. doi: 10.1145/3319619.3326876
Hvatov A. The symmetrical cell eigenfrequency method for periodic structure stop-band definition. Vibroengineering Procedia. 2019. Vol. 25. pp. 100-105.. doi: 10.21595/vp.2019.20728
Vychuzhanin P., Hvatov A., Kalyuzhnaya A.V. Anomalies Detection in Metocean Simulation Results Using Convolutional Neural Networks. Procedia Computer Science. 2018. Vol. 136. pp. 321-330.. doi: 10.1016/j.procs.2018.08.282
Hvatov A., Sorokin S. On application of the Floquet theory for radially periodic membranes and plates. Journal of Sound and Vibration. 2018. Vol. 414. pp. 15-30.. doi: 10.1016/j.jsv.2017.11.003
Хватов А.А. Теория Флоке в анализе виброизоляции. Ученые записки физического факультета Московского университета. 2017. № 5. С. 1751413.
Hvatov A., Sorokin S. Cylindrical waves in structures periodic in polar coordinates. 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2017. 2017. pp. 509-517.. doi: 10.7712/120117.5436.17590
Hvatov A., Sorokin S. Free vibrations of finite periodic structures in pass-and stop-bands of the counterpart infinite waveguides. Journal of Sound and Vibration. 2015. Vol. 347. pp. 200-217.. doi: 10.1016/j.jsv.2015.03.003
Хватов А.А. Analysis of eigenfrequencies of finite periodic structures in view of location of frequency pas-and stop-bands. Proceedings of 20th International Congress on Sound and Vibration. 2013. pp. 1-8.
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург