| On power laws in deep ensembles E Lobacheva, N Chirkova, M Kodryan, DP Vetrov Advances in Neural Information Processing Systems 33, 2375-2385, 2020 | 45 | 2020 |
| On the periodic behavior of neural network training with batch normalization and weight decay E Lobacheva, M Kodryan, N Chirkova, A Malinin, DP Vetrov Advances in Neural Information Processing Systems 34, 21545-21556, 2021 | 23 | 2021 |
| Training scale-invariant neural networks on the sphere can happen in three regimes M Kodryan, E Lobacheva, M Nakhodnov, DP Vetrov Advances in Neural Information Processing Systems 35, 14058-14070, 2022 | 8 | 2022 |
| Mars: Masked automatic ranks selection in tensor decompositions M Kodryan, D Kropotov, D Vetrov International Conference on Artificial Intelligence and Statistics, 3718-3732, 2023 | 6 | 2023 |
| Nonparametric Method for Estimation of Controlled Correlations in Studies of VEGF-Hypoxia Relationship MS Kodryan, AV Kuznetsova, LL Klimenko, AN Mazilina, IV Baskakov, ... Int. J. Clin. Biostat. Biom 24 (6), 2020 | 3 | 2020 |
| Optimal partitioning method for evaluating of effect of hemoglobin oxygenation levels of vessel endothelial growth factor OV Sen'ko, MS Kodryan, AV Kuznetsova, LL Klimenko, AI Deev, ... Matematicheskaya Biologiya i Bioinformatika 13 (2), 563-590, 2018 | 3 | 2018 |
| Efficient language modeling with automatic relevance determination in recurrent neural networks M Kodryan, A Grachev, D Ignatov, D Vetrov Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019 | 2 | 2019 |
| Loss function dynamics and landscape for deep neural networks trained with quadratic loss MS Nakhodnov, MS Kodryan, EM Lobacheva, DS Vetrov Doklady Mathematics 106 (Suppl 1), S43-S62, 2022 | 1 | 2022 |
| Application of machine learning for predicting the outcome of treatment of patients with schizophrenia according to the indicators of «Thrombodynamics» test OS Brusov, OV Senko, MS Kodryan, AV Kuznetsova, IA Matveev, ... Zhurnal Nevrologii i Psikhiatrii Imeni SS Korsakova 121 (8), 45-53, 2021 | 1 | 2021 |
| Метод оптимальных разбиений для оценки влияния степени оксигенации гемоглобина на фактор роста эндотелия сосудов ОВ Сенько, МС Кодрян, АВ Кузнецова, ЛЛ Клименко, АИ Деев, ... Математическая биология и биоинформатика 13 (2), 563-590, 2018 | 1 | 2018 |
| Large Learning Rates Improve Generalization: But How Large Are We Talking About? E Lobacheva, E Pockonechnyy, M Kodryan, D Vetrov arXiv preprint arXiv:2311.11303, 2023 | | 2023 |
| Determining subgroups of significant correlation in analyzing relation between NR2 antibodies and factor VIII in acute neurological diseases AN Mazilina, OV Sen'ko, OS Brusov, AA Dokukin, MS Kodryan, ... Математическая биология и биоинформатика 16 (1), 29-38, 2021 | | 2021 |
| СИСТЕМА И СПОСОБ ДЛЯ АВТОМАТИЧЕСКОГО ВЫПОЛНЕНИЯ КОМАНД, ЗАДАННЫХ ПОЛЬЗОВАТЕЛЕМ АМ ГРАЧЕВ, АВ ПОДОЛЬСКИЙ, ДА ЛИПИН, МС КОДРЯН, ... | | 2019 |
| Метод поиска статистически достоверных отклонений характеристик регрессионных зависимостей в различных областях признакового пространства МС Кодрян Сборник тезисов лучших выпускных квалификационных работ факультета ВМК МГУ …, 2018 | | 2018 |
| Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia 2 Federal Research Center" Informatics and Control" of … AN Mazilina, OV Senko, OS Brusov, AA Dokukin, MS Kodryan, ... | | |
| FRC «Computer Science and Control» of RAS Lomonosov Moscow States University Emanuel Institute of Biochemical Physics of RAS Semenov Institute of Chemical Physics of RAS … OV Senko, MS Kodryan, AV Kuznetsova, LL Klimenko, AI Deev, ... | | |
Dmitry VetrovProfessor of Computer Science at Constructor University, BremenVerified email at constructor.university
