| 2025 | GECCO | Evolutionary Manifold Learning for Automated Extraction of Data Topology. | Julia Borisova, Alexander Hvatov |
| 2025 | RecSys | Learning geometry-aware recommender systems with manifold regularization. | Zaira Zainulabidova, Julia Borisova, Alexander Hvatov |
| 2024 | DIS | Differential Equation Discovery of Robotic Swarm as Active Matter. | Roman V. Titov, Alexander Hvatov |
| 2023 | CEC | Directed Differential Equation Discovery Using Modified Mutation and Cross-Over Operators. | Elizaveta Ivanchik, Alexander Hvatov |
| 2023 | GECCO | Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. | Mikhail Maslyaev, Alexander Hvatov |
| 2022 | CEC | Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations. | Mikhail Maslyaev, Alexander Hvatov |
| 2022 | ICASSP | Data-Driven Approach for the Floquet Propagator Inverse Problem Solution. | Alexander Hvatov |
| 2022 | ISDA | On a Structure of an Automated Differential Equation Solver Based on Machine Learning Methods. | Damir Aminev, Nikita Demyanchuk, Alexander Hvatov |
| 2021 | CEC | Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. | Mikhail Maslyaev, Alexander Hvatov |
| 2021 | GECCO | Generative design of microfluidic channel geometry using evolutionary approach. | Nikolay O. Nikitin, Alexander Hvatov, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Georgii V. Grigorev, Xiaohao Wang, Xiang Qian |
| 2020 | GECCO | The data-driven physical-based equations discovery using evolutionary approach. | Alexander Hvatov, Mikhail Maslyaev |
| 2020 | GECCO | Automatic evolutionary learning of composite models with knowledge enrichment. | Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky |
| 2020 | ICCS | Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. | Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya |
| 2019 | GECCO | Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. | Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk |
| 2019 | ICCS | Data-Driven Partial Derivative Equations Discovery with Evolutionary Approach. | Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya |