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)

Methods for Improving the Fault Diagnosis Accuracy of Rotating Machines. - Yuri Kazakov; Ivan Stebakov; Alexander Fetisov; Alexey Kornaev; Roman Polyakov (ISDA (4), 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)

Cross-Modal Conceptualization in Bottleneck Models. - Danis Alukaev; Semen Kiselev; Ilya Pershin; Bulat Ibragimov; Vladimir Ivanov; Alexey Kornaev; Ivan Titov (EMNLP, 2023)

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

Automatic Calculation of Cardiometric Coefficients on Chest X-Ray Images. - Alexey Kornaev; Dmitry Lvov; Ilya Pershin; Semen Kiselev; Danil Afonchikov; Iskander Bariev; Bulat Ibragimov (IEEE Access, 2025)