2 papers
physics.comp-ph2019
Predicting dynamical system evolution with residual neural networks
Artem Chashchin, Mikhail Botchev, Ivan Oseledets +1
Forecasting time series and time-dependent data is a common problem in many applications. One typical example is solving ordinary differential equation (ODE) systems …
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…