Nikolay B. Yavich

According to our database, Nikolay B. Yavich authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation.

Sergei Shumilin, Alexander Ryabov, Nikolay B. Yavich, Evgeny Burnaev, Vladimir Vanovskiy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Yttrium-Iron Garnet Magnetometer in MEG: Advance towards Multi-Channel Arrays.

Ekaterina Skidchenko, Anna Butorina, Maxim Ostras, Petr Vetoshko, Alexey Kuzmichev, Nikolay B. Yavich, Mikhail S. Malovichko, Nikolay A. Koshev

Sensors, 2023

2022

Conservative Finite Element Modeling of EEG and MEG on Unstructured Grids.

Nikolay B. Yavich, Nikolay A. Koshev, Mikhail S. Malovichko, Alexandra Razorenova, Maxim V. Fedorov

IEEE Trans. Medical Imaging, 2022

Application of Optimal Control to Inversion of Self-Potential Data: Theory and Synthetic Examples.

Mikhail S. Malovichko, Andrey V. Tarasov, Nikolay B. Yavich, Konstantin V. Titov

IEEE Trans. Geosci. Remote. Sens., 2022

PDE-constrained optimization for electroencephalographic source reconstruction.

Mikhail S. Malovichko, Nikolay B. Yavich, Alexandra Razorenova, Nikolay A. Koshev

CoRR, 2022

2021

Electroencephalographic Source Reconstruction by the Finite-Element Approximation of the Elliptic Cauchy Problem.

Mikhail S. Malovichko, Nikolay A. Koshev, Nikolay B. Yavich, Alexandra Razorenova, Maxim V. Fedorov

IEEE Trans. Biomed. Eng., 2021

Contraction operator transformation for the complex heterogeneous Helmholtz equation.

Nikolay B. Yavich, Nikolay I. Khokhlov, Mikhail S. Malovichko, Michael S. Zhdanov

Comput. Math. Appl., 2021

2020

Deep Learning for Non-invasive Cortical Potential Imaging.

Alexandra Razorenova, Nikolay B. Yavich, Mikhail S. Malovichko, Maxim V. Fedorov, Nikolay A. Koshev, Dmitry V. Dylov

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2018

Acoustic 3D modeling by the method of integral equations.

Mikhail S. Malovichko, Nikolay I. Khokhlov, Nikolay B. Yavich, Michael S. Zhdanov

Comput. Geosci., 2018

2017

Approximate solutions of acoustic 3D integral equation and their application to seismic modeling and full-waveform inversion.

Mikhail S. Malovichko, Nikolay I. Khokhlov, Nikolay B. Yavich, Michael S. Zhdanov

J. Comput. Phys., 2017

2016

Parallel algorithm for 3D modeling of monochromatic acoustic field by the method of integral equations.

Mikhail S. Malovichko, Nikolay I. Khokhlov, Nikolay B. Yavich, Michael S. Zhdanov

Supercomput. Front. Innov., 2016