Anna Golovkina

12 papers A 1C 1Journal 2Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Neural Ordinary Differential Equations with TM-Solver to Predict Time Series Data.
ICCSA (Workshops 9)
Anna Golovkina, Anna Vashukova
2024 — conf
Graph Neural Networks for Metrics Prediction in Microservice Architecture.
ICCSA (Workshops 7)
Anna Golovkina, Dmitry Mogilnikov, Vladimir Ruzhnikov
2023 — conf
Forecasting Multivariate Time Series with a Dynamic-System-Based Hybrid Model.
ICCSA (Workshops 1)
Daria Ganaeva, Anna Golovkina
2023 — conf
Polynomial Neural Layers for Numerical Modeling of Dynamical Processes.
ICCSA (Workshops 6)
Ilya Klimenko, Anna Golovkina, Vladimir Ruzhnikov
2022 — conf
Parametric Identification of a Dynamical System with Switching.
ICCSA (Workshops 4)
Anna Golovkina, Vladimir Kozynchenko
2021 — conf
Reconstruction and Identification of Dynamical Systems Based on Taylor Maps.
ICCSA (8)
Anna Golovkina, Vladimir Kozynchenko, Nataliia V. Kulabukhova
2020 — conf
Optimization of Minor Actinides Initial Loading in Accelerator-Driven Transmutation Facility.
ECC
Anna Golovkina, Ekaterina A. Kostina, Dmitri Ovsyannikov
2020 — conf
Optimization of RFQ Structures for Acceleration of the Multicharged Ions with Different Charge to Mass Rations.
ECC
Vladislav Altsybeyev, Yuri Svistunov, Anna Golovkina, Sergey Zavadskiy
2020 J jnl
Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples.
CoRR
Andrei Ivanov, Uwe Iben, Anna Golovkina
2020 A conf
Polynomial Neural Networks and Taylor Maps for Dynamical Systems Simulation and Learning.
ECAI
Andrei Ivanov, Anna Golovkina, Uwe Iben
2019 C conf
A Robust Optimization Model for the Radioactive Waste Transmutation in ADS.
CoDIT
Anna Golovkina, Sorin Olaru, Dmitri Ovsyannikov
2019 J jnl
Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning.
CoRR
Andrei Ivanov, Anna Golovkina, Uwe Iben