Alexander Hvatov

39 papers A 1B 3Misc 1Journal 22Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differentiation methods as a systematic uncertainty source in equation discovery. CoRR Maria Khilchuk, Ilya Markov, Alexander Hvatov
2025	J	`jnl`	Equation discovery framework EPDE: Towards a better equation discovery. CoRR Mikhail Maslyaev, Alexander Hvatov
2025	—	`conf`	Evolutionary Manifold Learning for Automated Extraction of Data Topology. GECCO Companion Julia Borisova, Alexander Hvatov
2025	J	`jnl`	Knowledge-aware differential equation discovery with automated background knowledge extraction. Inf. Sci. Elizaveta Ivanchik, Alexander Hvatov
2025	J	`jnl`	Knowledge-aware equation discovery with automated background knowledge extraction. CoRR Elizaveta Ivanchik, Alexander Hvatov
2025	A	`conf`	Learning geometry-aware recommender systems with manifold regularization. RecSys Zaira Zainulabidova, Julia Borisova, Alexander Hvatov
2025	J	`jnl`	On Approaches to Building Surrogate ODE Models for Diffusion Bridges. CoRR Maria Khilchuk, Vladimir Latypov, Pavel Kleshchev, Alexander Hvatov
2025	J	`jnl`	Towards Universal Neural Operators through Multiphysics Pretraining. CoRR Mikhail Masliaev, Dmitry Gusarov, Ilya Markov, Alexander Hvatov
2024	—	`conf`	Differential Equation Discovery of Robotic Swarm as Active Matter. DS (1) Roman V. Titov, Alexander Hvatov
2024	—	`conf`	Evolutionary Optimization for Inverse Problem in Engineering: The Case Study of Defects Shape Reconstruction. OL2A (2) Gleb V. Solovev, Alexander Hvatov, Oleg Petrov, Anna V. Kalyuzhnaya, Alexandra Klimova, Nikolay O. Nikitin
2023	—	`conf`	Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. GECCO Companion Mikhail Maslyaev, Alexander Hvatov
2023	J	`jnl`	Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. CoRR Mikhail Maslyaev, Alexander Hvatov
2023	B	`conf`	Directed Differential Equation Discovery Using Modified Mutation and Cross-Over Operators. CEC Elizaveta Ivanchik, Alexander Hvatov
2023	J	`jnl`	Directed differential equation discovery using modified mutation and cross-over operators. CoRR Elizaveta Ivanchik, Alexander Hvatov
2023	J	`jnl`	Towards stable real-world equation discovery with assessing differentiating quality influence. CoRR Mikhail Masliaev, Ilya Markov, Alexander Hvatov
2023	J	`jnl`	Towards true discovery of the differential equations. CoRR Alexander Hvatov, Roman V. Titov
2022	J	`jnl`	Automated differential equation solver based on the parametric approximation optimization. CoRR Alexander Hvatov, Tatiana Tikhonova
2022	Misc	`conf`	Data-Driven Approach for the Floquet Propagator Inverse Problem Solution. ICASSP Alexander Hvatov
2022	J	`jnl`	Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea. Comput. Geosci. Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
2022	—	`conf`	On a Structure of an Automated Differential Equation Solver Based on Machine Learning Methods. ISDA (1) Damir Aminev, Nikita Demyanchuk, Alexander Hvatov
2022	J	`jnl`	On the balance between the training time and interpretability of neural ODE for time series modelling. CoRR Yakov Golovanev, Alexander Hvatov
2022	B	`conf`	Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations. CEC Mikhail Maslyaev, Alexander Hvatov
2021	—	`conf`	Generative design of microfluidic channel geometry using evolutionary approach. GECCO Companion Nikolay O. Nikitin, Alexander Hvatov, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Georgii V. Grigorev, Xiaohao Wang, Xiang Qian
2021	J	`jnl`	Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea. CoRR Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
2021	—	`conf`	Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models. OL2A Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
2021	J	`jnl`	Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models. CoRR Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
2021	B	`conf`	Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. CEC Mikhail Maslyaev, Alexander Hvatov
2021	J	`jnl`	Multi-objective discovery of PDE systems using evolutionary approach. CoRR Mikhail Maslyaev, Alexander Hvatov
2021	J	`jnl`	Partial differential equation solver based on optimization methods. CoRR Alexander Hvatov
2021	J	`jnl`	Partial differential equations discovery with EPDE framework: Application for real and synthetic data. J. Comput. Sci. Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
2021	J	`jnl`	Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning. Entropy Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Alexander Hvatov, Mikhail Maslyaev, Mikhail Yachmenkov, Alexander Boukhanovsky
2020	—	`conf`	Automatic evolutionary learning of composite models with knowledge enrichment. GECCO Companion Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky
2020	—	`conf`	Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. ICCS (2) Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
2020	—	`conf`	The data-driven physical-based equations discovery using evolutionary approach. GECCO Companion Alexander Hvatov, Mikhail Maslyaev
2020	J	`jnl`	The data-driven physical-based equations discovery using evolutionary approach. CoRR Alexander Hvatov, Mikhail Maslyaev
2019	—	`conf`	Data-Driven Partial Derivative Equations Discovery with Evolutionary Approach. ICCS (5) Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
2019	J	`jnl`	Data-driven PDE discovery with evolutionary approach. CoRR Michail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
2019	—	`conf`	Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. GECCO (Companion) Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk
2018	J	`jnl`	Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. CoRR Alexander Hvatov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Sergey S. Kosukhin