Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling. - Elena Kornaeva; Alexey Kornaev; Alexander Fetisov; Ivan Stebakov; Bulat Ibragimov (CEC, 2022)

U-Net as a Tool for Adjusting the Velocity Distributions of Rheomagnetic Fluids. - Elena Kornaeva; Alexey Kornaev; Alexander Fetisov; Ivan Stebakov; Leonid Savin (ISDA (4), 2022)

Native machine learning for noisy microscopic data processing. - Danil Afonchikov; Elena Kornaeva; Irina Makovik; Alexey Kornaev (Tiny Papers @ ICLR, 2024)

Artificial Neural Networks as a Natural Tool in Solution of Variational Problems in Hydrodynamics. - Ivan Stebakov; Alexei Kornaev; Elena Kornaeva; Nikita Litvinenko; Yuri Kazakov; Oleg Ivanov; Bulat Ibragimov (IEEE Access, 2024)

Exploring Variational Methods in Hydro- and Hemodynamics Through Incompressible Velocity Distribution Sampling. - Ivan Stebakov; Alexei Kornaev; Elena Kornaeva; Sergey Majorov (IEEE Access, 2024)

Awareness of uncertainty in classification using a multivariate model and multi-views. - Alexey Kornaev; Elena Kornaeva; Oleg Ivanov; Ilya Pershin; Danis Alukaev (CoRR, 2024)

Application of Deep Learning Methods to Processing of Noisy Medical Video Data. - Danil Afonchikov; Elena Kornaeva; Irina Makovik; Alexey Kornaev (CoRR, 2024)