Microstructure synthesis using style-based generative adversarial network. - Daria Fokina; Ekaterina A. Muravleva; George V. Ovchinnikov; Ivan V. Oseledets (CoRR, 2019)

Growing axons: greedy learning of neural networks with application to function approximation. - Daria Fokina; Ivan V. Oseledets (CoRR, 2019)

Deep Neural Networks and Adaptive Quadrature for Solving Variational Problems. - Daria Fokina; Oleg Iliev 001; Ivan V. Oseledets (LSSC, 2021)

On the Performance of Machine Learning Methods for Breakthrough Curve Prediction. - Daria Fokina; Oleg Iliev 001; Pavel Toktaliev; Ivan V. Oseledets; Felix Schindler (CoRR, 2022)

Machine Learning Algorithms for Parameter Identification for Reactive Flow in Porous Media. - Daria Fokina; Vasiliy V. Grigoriev; Oleg Iliev 001; Ivan V. Oseledets (LSSC, 2023)

Machine learning methods for prediction of breakthrough curves in reactive porous media. - Daria Fokina; Pavel Toktaliev; Oleg Iliev 001; Ivan V. Oseledets (CoRR, 2023)