A Robust Optimization Model for the Radioactive Waste Transmutation in ADS. - Anna Golovkina; Sorin Olaru; Dmitri Ovsyannikov (CoDIT, 2019)

Polynomial Neural Networks and Taylor Maps for Dynamical Systems Simulation and Learning. - Andrei Ivanov; Anna Golovkina; Uwe Iben (ECAI, 2020)

Optimization of RFQ Structures for Acceleration of the Multicharged Ions with Different Charge to Mass Rations. - Vladislav Altsybeyev; Yuri Svistunov; Anna Golovkina; Sergey Zavadskiy (ECC, 2020)

Optimization of Minor Actinides Initial Loading in Accelerator-Driven Transmutation Facility. - Anna Golovkina; Ekaterina A. Kostina; Dmitri Ovsyannikov (ECC, 2020)

Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples. - Andrei Ivanov; Uwe Iben; Anna Golovkina (CoRR, 2020)

Reconstruction and Identification of Dynamical Systems Based on Taylor Maps. - Anna Golovkina; Vladimir Kozynchenko; Nataliia V. Kulabukhova (ICCSA (8), 2021)

Parametric Identification of a Dynamical System with Switching. - Anna Golovkina; Vladimir Kozynchenko (ICCSA (Workshops 4), 2022)

Forecasting Multivariate Time Series with a Dynamic-System-Based Hybrid Model. - Daria Ganaeva; Anna Golovkina (ICCSA (Workshops 1), 2023)

Polynomial Neural Layers for Numerical Modeling of Dynamical Processes. - Ilya Klimenko; Anna Golovkina; Vladimir Ruzhnikov (ICCSA (Workshops 6), 2023)

Graph Neural Networks for Metrics Prediction in Microservice Architecture. - Anna Golovkina; Dmitry Mogilnikov; Vladimir Ruzhnikov (ICCSA (Workshops 7), 2024)

Neural Ordinary Differential Equations with TM-Solver to Predict Time Series Data. - Anna Golovkina; Anna Vashukova (ICCSA (Workshops 9), 2025)