1. Abstract › Research › Peer-reviewed
  2. Discrete Conditioned Random Walks with Random Local Constraints

    Саханенко, А. И. & Фосс, С. Г., 2020, p. 1-8. 8 p.

    Research output: Contribution to conferenceAbstractpeer-review

  3. Modifications of Simon text model

    Ковалевский, А. П., 2020.

    Research output: Contribution to conferenceAbstractpeer-review

  4. Paper › Research › Peer-reviewed
  5. Unsupervised Tokenization Learning

    Kolonin, A. & Ramesh, V., 2022. 16 p.

    Research output: Contribution to conferencePaperpeer-review

  6. Conference contribution › Research › Peer-reviewed
  7. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  8. 3D Visualization of Brain Tumors via Artificial Intelligence

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Tolstokulakov, N., Amelin, M., Golushko, S. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 280-283 4 p. 9496040. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  9. A Given Diameter MST on a Random Graph

    Gimadi, E. K., Shevyakov, A. S. & Shtepa, A. A., 2020, Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings. Olenev, N., Evtushenko, Y., Khachay, M. & Malkova, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 110-121 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12422 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  10. A novel sixth-order algorithm for the direct zakharov-shabat problem

    Medvedev, S. B., Vaseva, I. A., Chekhovskoy, I. S. & Fedoruk, M. P., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, ci_2_5. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  11. A Novel Sixth-Order Algorithm for the Direct Zakharov-Shabat Problem

    Medvedev, S. B., Vaseva, I. A., Chekhovskoy, I. S. & Fedoruk, M. P., 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 proceedingConference contributionResearchpeer-review

  12. Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings

    Blankson, R. & Pavlovskiy, E., 2022, Proceedings of International Conference on Data Science and Applications, ICDSA 2021. Saraswat, M., Roy, S., Chowdhury, C. & Gandomi, A. H. (eds.). Springer Nature Singapore ed. Singapore: Springer Science and Business Media Deutschland GmbH, Vol. 287. p. 483-492 10 p. (Lecture Notes in Networks and Systems; vol. 287).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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