1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.flu-dyn2022
On the Performance of Machine Learning Methods for Breakthrough Curve Prediction
Daria Fokina, Oleg Iliev, Pavel Toktaliev +2
Reactive flows are important part of numerous technical and environmental processes. Often monitoring the flow and species concentrations within the domain is not possible or is ex…
cs.LG2019★ 1 cited
Growing axons: greedy learning of neural networks with application to function approximation
Daria Fokina, Ivan Oseledets
We propose a new method for learning deep neural network models that is based on a greedy learning approach: we add one basis function at a time, and a new basis function is genera…
eess.IV2019
Microstructure synthesis using style-based generative adversarial network
Daria Fokina, Ekaterina Muravleva, George Ovchinnikov +1
Work considers the usage of StyleGAN architecture for the task of microstructure synthesis. The task is the following: given number of samples of structure we try to generate simil…