On Practical Approach to Uniform Quantization of Non-redundant Neural Networks

Goncharenko, A., Denisov, A., Alyamkin, S. & Terentev, E., 1 Jan 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer, p. 349-360 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11728 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

On prerequisites for revealing c. Elegans backward crawling mechanism through computer simulation of key involved subsystems

Palyanov, A. Y. & Palyanova, N. V., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 944-949 6 p. 8958238. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

On pressure field registration technique using elastic layers

Golubev, M., Shmakov, A. & Pavlov, A., 26 Oct 2017, Proceedings of the XXV Conference on High-Energy Processes in Condensed Matter, HEPCM 2017: Dedicated to the 60th Anniversary of the Khristianovich Institute of Theoretical and Applied Mechanics SB RAS. Fomin (ed.). American Institute of Physics Inc., Vol. 1893. 4 p. 030065. (AIP Conference Proceedings; vol. 1893).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review