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  1. Complex Fully Connected Neural Networks for Nonlinearity Compensation in Long-Haul Transmission Systems

    Bogdanov, S. & Sidelnikov, O., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021; vol. 2021-January).

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

  2. Conditions for walk-off soliton generation in a multimode fiber

    Zitelli, M., Mangini, F., Ferraro, M., Sidelnikov, O. & Wabnitz, S., Dec 2021, In: Communications Physics. 4, 1, 182.

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

  3. Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems

    Sidelnikov, O., Redyuk, A., Sygletos, S., Fedoruk, M. & Turitsyn, S., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, ci_p_6. (Optics InfoBase Conference Papers).

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

  4. Convolutional Neural Networks with Multiple Layers per Span for Nonlinearity Mitigation in Long-Haul WDM Transmission Systems

    Sidelnikov, O., Redyuk, A., Sygletos, S., Fedoruk, M. & Turitsyn, S., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. Paper CI-P.6. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

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

  5. Deep learning with synthetic photonic lattices for equalization in optical transmission systems

    Pankov, A. V., Sidelnikov, O. S., Vatnik, I. D., Sukhorukov, A. A. & Churkin, D. V., 20 Nov 2019, Real-Time Photonic Measurements, Data Management, and Processing IV. Li, M., Jalali, B. & Asghari, M. H. (eds.). The International Society for Optical Engineering, p. 24 11 p. 111920N. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11192).

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

  6. Deep neural networks with time-domain synthetic photonic lattices

    Pankov, A. V., Sidelnikov, O. S., Vatnik, I. D., Churkin, D. V. & Sukhorukov, A. A., 2021, European Quantum Electronics Conference, EQEC 2021. The Optical Society, jsiv_p_3. (Optics InfoBase Conference Papers).

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

  7. Deep Neural Networks with Time-Domain Synthetic Photonic Lattices

    Pankov, A. V., Sidelnikov, O. S., Vatnik, I. D., Churkin, D. V. & Sukhorukov, A. A., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

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

  8. Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines

    Sidelnikov, O. S., Redyuk, A. A. & Sygletos, S., 2017, In: Quantum Electronics. 47, 12, p. 1147-1149 3 p.

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

  9. Efficient Nonlinear Distortion Compensation Algorithms Using Machine Learning for Telecommunication Systems

    Redyuk, A. A., Shevelev, E. I., Sidelnikov, O. S., Danilko, V. R., Bazarov, T. O., Senko, M. A., Samodelkin, L. A., Nanii, O. E., Treshchikov, V. N. & Fedoruk, M. P., Dec 2025, In: Bulletin of the Lebedev Physics Institute. 52, Suppl 11, p. S1172-S1187 16 p., 8.

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

  10. Equalization performance and complexity analysis of dynamic deep neural networks in long haul transmission systems

    Sidelnikov, O., Redyuk, A. & Sygletos, S., 10 Dec 2018, In: Optics Express. 26, 25, p. 32765-32776 12 p.

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

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