Kirill Gadylshin

14 papers Journal 2Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Numerical dispersion mitigation neural network with velocity model correction.
Comput. Geosci.
Elena Gondyul, Vadim V. Lisitsa, Kirill Gadylshin, Dmitry M. Vishnevsky
2024 — conf
Effective Numerical Dispersion Suppression in 3D Seismic Modeling.
ICCSA (Workshops 3)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky
2024 — conf
NDM-Net and Model Changes.
ICCSA (Workshops 3)
Elena Gondyul, Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky
2024 — conf
Reducing Numerical Dispersion in Pseudo-3D Space and Constructing Training Dataset.
ICCSA (Workshops 3)
Elena Gondyul, Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky
2023 — conf
Adaptive Data-Based Optimization of the Training Dataset for the NDM-net.
ICCSA (Workshops 3)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky
2023 — conf
Frequency Domain Numerical Dispersion Mitigation Network.
ICCSA (Workshops 3)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky
2023 J jnl
Hausdorff-distance-based training dataset construction for numerical dispersion mitigation neural network.
Comput. Geosci.
Kirill Gadylshin, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Kseniia Gadylshina
2023 — conf
Numerical Dispersion Mitigation Neural Network with the Model-Based Training Dataset Optimization.
ICCSA (Workshops 3)
Elena Gondyul, Vadim V. Lisitsa, Kirill Gadylshin, Dmitry M. Vishnevsky
2023 — conf
Seismic Monitoring of Hydrocarbon Deposits Using a Viscoelastic Medium Model Based on Deep Learning.
ICCSA (Workshops 3)
Denis Bratchikov, Kirill Gadylshin
2022 — conf
Full Waveform Inversion of the Scattered Component of the Wavefield: Resolution Analysis.
ICCSA (1)
Kirill Gadylshin, Maxim Protasov
2022 — conf
Optimization of the Training Dataset for Numerical Dispersion Mitigation Neural Network.
ICCSA (Workshops 2)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky
2021 — conf
Fast Three-Dimensional Depth-Velocity Model Building Based on Reflection Traveltime Tomography and Pre-stack Time Migrated Images.
ICCSA (2)
Dmitry Neklyudov, Kirill Gadylshin, Maxim Protasov, L. Klimes
2021 — conf
Machine Learning-Based Numerical Dispersion Mitigation in Seismic Modelling.
ICCSA (1)
Kirill Gadylshin, Vadim V. Lisitsa, Kseniia Gadylshina, Dmitry M. Vishnevsky, Mikhail Novikov
2021 — conf
Reconstruction of the Near-Surface Model in Complex Seismogeological Conditions of Eastern Siberia Utilizing Full Waveform Inversion with Varying Topography.
ICCSA (1)
Kirill Gadylshin, Vladimir A. Tcheverda, Danila Tverdokhlebov