1. Environment-Agnostic IRM via Unsupervised Clustering and Adaptive Penalty Scaling

    Miron, B. & Bondarenko, I., 2026, Advances in Neural Computation, Machine Learning, and Cognitive Research IX. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. & Klimov, V. V. (eds.). Springer, p. 47-63 17 p. 5. (Studies in Computational Intelligence; vol. 1241 SCI).

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

  2. Low-resource Buryat-Russian neural machine translation

    Baturova, D., Abidueva, S., Bondarenko, I. & Lichko, D., 1 Aug 2025, Proceedings of the Fourth Workshop on NLP Applications to Field Linguistics. Le Ferrand, É., Klyachko, E., Postnikova, A., Shavrina, T., Serikov, O., Voloshina, E. & Vylomova, E. (eds.). Association for Computational Linguistics, p. 85-93 9 p. (Proceedings of the Fourth Workshop on NLP Applications to Field Linguistics).

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

  3. Pisets: A Robust Speech Recognition System for Lectures and Interviews

    Bondarenko, I., Grebenkin, D., Sedukhin, O., Klementev, M., Derunets, R. & Budneva, L., 2025, Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025. Chen, W., Yang, Y., Kachuee, M. & Fu, X-Y. (eds.). Association for Computational Linguistics, p. 988-997 10 p. (Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025; vol. 3).

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

  4. Safe Pretraining of Deep Language Models in a Synthetic Pseudo-Language

    Gorbacheva, T. E. & Bondarenko, I. Y., Dec 2023, In: Doklady Mathematics. 108, Suppl 2, p. S494-S502 9 p.

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

  5. Text augmentation for neural networks

    Mosolova, A. V., Fomin, V. V. & Bondarenko, I. Y., 2018, In: CEUR Workshop Proceedings. 2268, p. 104-109 6 p.

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

  6. Using Few-Shot Learning Techniques for Named Entity Recognition and Relation Extraction

    Bondarenko, I., Berezin, S., Pauls, A., Batura, T., Rubtsova, Y. & Tuchinov, B., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Novosibirsk, Russia: Institute of Electrical and Electronics Engineers Inc., p. 58-65 8 p. 9303192. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  7. Wav2vec2 Without Attention: Do You Need Hopfield Networks for Self-Supervised Learning of Speech Representations?

    Grebenkin, D. & Bondarenko, I., Oct 2024, In: Journal of Mathematical Sciences (United States). 285, 1, p. 28-35 8 p.

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

  8. Интеллектуальная вопросно-ответная система на основе интеграции генеративной нейросетевой модели языка и неструктурированной базы знаний

    Бондаренко, И., Дерунец, Р. А., Тикунов, Ф. В., Кулаков, М. Я., Мясникова, М. А., Бобровский, А. К., Прокопенко, В. А. & Ропперт, Е. И., 21 Jan 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2025611584, 23 Dec 2024, Priority date 23 Dec 2024, Priority No. 2024693113

    Research output: Patent › Software registration

  9. Классификация интентов на основе байесовских нейронных сетей

    Бондаренко, И., Oct 2019, p. 165-168. 4 p.

    Research output: Contribution to conference › Abstract › peer-review

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