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  1. New semi-analytical solution of the problem of vapor bubble growth in superheated liquid

    Chernov, A. A., Pil’nik, A. A., Vladyko, I. V. & Lezhnin, S. I., 1 Dec 2020, In: Scientific Reports. 10, 1, 8 p., 16526.

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

  2. New insights from old cosmic rays: A novel analysis of archival KASCADE data

    Kostunin, D., Plokhikh, I., Ahlers, M., Tokareva, V., Lenok, V., Bezyazeekov, P., Golovachev, S., Sotnikov, V., Mullyadzhanov, R. & Sotnikova, E., 18 Mar 2022, In: Proceedings of Science. 395, 319.

    Research output: Contribution to journal › Conference article › peer-review

  3. Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments

    Kolonin, A., 2022, Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings. Goertzel, B., Iklé, M. & Potapov, A. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 106-115 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13154 LNAI).

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

  4. Neural Networks for Nonlinear Fourier Spectrum Computation

    Sedov, E., Freire, P. J., Chekhovskoy, I., Turitsyn, S. & Prilepsky, J., 2021, 2021 European Conference on Optical Communication, ECOC 2021. Institute of Electrical and Electronics Engineers Inc., (2021 European Conference on Optical Communication, ECOC 2021).

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

  5. Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation

    Sedov, E. V., Freire, P. J., Seredin, V. V., Kolbasin, V. A., Kamalian-Kopae, M., Chekhovskoy, I. S., Turitsyn, S. K. & Prilepsky, J. E., Dec 2021, In: Scientific Reports. 11, 1, 22857.

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

  6. Neural network for calculating direct and inverse nonlinear Fourier transform

    Sedov, E. V., Чеховской, И. С. & Prilepsky, J. E., Dec 2021, In: Quantum Electronics. 51, 12, p. 1118-1121 4 p.

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

  7. Neural nerwork approach for plug flow analysis in microchannels

    Seredkin, A. V. & Yagodnitsyna, A. A., 2022, In: Interfacial Phenomena and Heat Transfer. 10, 1, p. 15-24 10 p.

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

  8. Multi-target Weakly Supervised Regression Using Manifold Regularization and Wasserstein Metric

    Kalmutskiy, K., Cherikbayeva, L., Litvinenko, A. & Berikov, V., 2023, Communications in Computer and Information Science. Springer Science and Business Media Deutschland GmbH, p. 364-375 12 p. (Communications in Computer and Information Science; vol. 1881 CCIS).

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

  9. Multi-switches and virtual knot invariants

    Bardakov, V. & Nasybullov, T., 15 Apr 2021, In: Topology and its Applications. 293, 107552.

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

  10. Multi-normex distributions for the sum of random vectors. Rates of convergence

    Kratz, M. & Prokopenko, E., Sept 2023, In: Extremes. 26, 3, p. 509-544 36 p.

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

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