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Publications in Math-Net.Ru |
Citations |
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2023 |
| 1. |
G. M. Gritsai, A. V. Grabovoy, A. S. Kildyakov, Yu. V. Chekhovich, “Artificially generated text fragments search in academic documents”, Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 308–317   ; Dokl. Math., 108:suppl. 2 (2023), S434–S442 |
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| 2. |
A. V. Grabovoy, M. S. Kaprielova, A. S. Kildyakov, I. O. Potyashin, T. B. Seyil, E. L. Finogeev, Yu. V. Chekhovich, “Text reuse detection in handwritten documents”, Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 297–307 ; Dokl. Math., 108:suppl. 2 (2023), S424–S433 |
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2022 |
| 3. |
A. I. Bazarova, A. V. Grabovoy, V. V. Strijov, “Analysis of the properties of probabilistic models in expert-augmented learning problems”, Avtomat. i Telemekh., 2022, no. 10, 47–59  ; Autom. Remote Control, 83:10 (2022), 1527–1537 |
| 4. |
A. V. Grabovoy, V. V. Strijov, “Probabilistic interpretation of the distillation problem”, Avtomat. i Telemekh., 2022, no. 1, 150–168 ; Autom. Remote Control, 83:1 (2022), 123–137   |
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2021 |
| 5. |
A. V. Grabovoy, V. V. Strijov, “Bayesian distillation of deep learning models”, Avtomat. i Telemekh., 2021, no. 11, 16–29 ; Autom. Remote Control, 82:11 (2021), 1846–1856 |
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| 6. |
A. V. Grabovoy, V. V. Strijov, “Prior distribution selection for a mixture of experts”, Zh. Vychisl. Mat. Mat. Fiz., 61:7 (2021), 1149–1161 ; Comput. Math. Math. Phys., 61:7 (2021), 1140–1152 |
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2020 |
| 7. |
A. V. Grabovoy, O. Yu. Bakhteev, V. V. Strijov, “Ordering the set of neural network parameters”, Inform. Primen., 14:2 (2020), 58–65 |
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2019 |
| 8. |
A. V. Grabovoy, O. Yu. Bakhteev, V. V. Strijov, “Estimation of the relevance of the neural network parameters”, Inform. Primen., 13:2 (2019), 62–70 |
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