2 citations · 2 across the 3 of their papers we have counts for
4 papers
Exploring specialization and sensitivity of convolutional neural networks under simultaneous image augmentations
Pavel Kharyuk, Sergey Matveev, Ivan Oseledets
Drawing parallels with the way biological networks are studied, the authors adapt the treatment--control paradigm to explainable artificial intelligence research and enrich it thro…
FMM-Net: neural network architecture based on the Fast Multipole Method
Daria Sushnikova, Pavel Kharyuk, Ivan Oseledets
In this paper, we propose a new neural network architecture based on the H2 matrix. Even though networks with H2-inspired architecture already exist, and our approach is designed t…
Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions
Pavel Kharyuk, Ivan Oseledets
This work is devoted to elaboration on the idea to use block term decomposition for group data analysis and to raise the possibility of modelling group activity with (Lr, 1) and Tu…
Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants
Pavel Kharyuk, Dmitry Nazarenko, Ivan Oseledets
Fourier-transform infra-red (FTIR) spectra of samples from 7 plant species were used to explore the influence of preprocessing and feature extraction on efficiency of machine learn…