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  1. 2023

  2. Testing of Magnetic Elements of the Electron Cooling System for the NICA Collider

    Reva, V. B., Batrakov, A. M., Bryzgunov, M. I., Bubley, A. V., Vakhrushev, R. V., Gorchakov, K. M., Gosteev, V. K., Denisov, A. P., Kondaurov, M. N., Konstantinov, V. M., Korchagin, V. Y., Kremnev, N. S., Panasyuk, V. M., Parkhomchuk, V. V., Pospolita, S. P., Putmakov, A. A. & Shtro, K. S., Aug 2023, In: Physics of Particles and Nuclei Letters. 20, 4, p. 872-879 8 p.

    Research output: Contribution to journal › Article › peer-review

  3. Beam Profile Measurement of Electron Gun Prototype for NICA Collider Electron Cooling System

    Bryzgunov, M. I., Bubley, A. V., Denisov, A. P., Petrozhitskiy, A. V., Reva, V. B. & Urazov, E., Apr 2023, In: Physics of Particles and Nuclei Letters. 20, 2, p. 133-139 7 p.

    Research output: Contribution to journal › Article › peer-review

  4. 2021

  5. Iterative Adaptation to Quantization Noise

    Chudakov, D., Alyamkin, S., Goncharenko, A. & Denisov, A., 2021, Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 303-310 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12861 LNCS).

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

  6. 2019

  7. Winning solution on LPIRC-LL competition

    Goncharenko, A., Alyamkin, S., Denisov, A. & Terentev, E., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society, p. 10-16 7 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2019-June).

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

  8. 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-Verlag GmbH and Co. KG, 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

  9. Trainable Thresholds for Neural Network Quantization

    Goncharenko, A., Denisov, A., Alyamkin, S. & Terentev, E., 1 Jan 2019, Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer-Verlag GmbH and Co. KG, p. 302-312 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11507 LNCS).

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

ID: 3537789