Clustering Techniques Versus Binary Thresholding for Detection of Signal Tracks in Ionogramms. - Artem M. Grachev; Andrey Shiriy (SCAKD@CLA, 2016)

Neural Networks Compression for Language Modeling. - Artem M. Grachev; Dmitry I. Ignatov; Andrey V. Savchenko (PReMI, 2017)

Extraction of Visual Features for Recommendation of Products via Deep Learning. - Elena Andreeva 002; Dmitry I. Ignatov; Artem M. Grachev; Andrey V. Savchenko (AIST, 2018)

Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks. - Maxim Kodryan; Artem M. Grachev; Dmitry I. Ignatov; Dmitry P. Vetrov (RepL4NLP@ACL, 2019)

Compression of recurrent neural networks for efficient language modeling. - Artem M. Grachev; Dmitry I. Ignatov; Andrey V. Savchenko (Appl. Soft Comput., 2019)

EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIs. - Daniil A. Berdyshev; Artem M. Grachev; Sergei L. Shishkin; Bogdan L. Kozyrskiy (CoRR, 2024)