| On power laws in deep ensembles E Lobacheva, N Chirkova, M Kodryan, DP Vetrov Advances In Neural Information Processing Systems 33, 2375-2385, 2020 | 26 | 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 | 14 | 2021 |
| Mars: Masked automatic ranks selection in tensor decompositions M Kodryan, D Kropotov, D Vetrov arXiv preprint arXiv:2006.10859, 2020 | 3 | 2020 |
| 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 |
| Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes M Kodryan, E Lobacheva, M Nakhodnov, D Vetrov arXiv preprint arXiv:2209.03695, 2022 | 1 | 2022 |
| 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 | 1 | 2019 |
| 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 |
| Loss Function Dynamics and Landscape for Deep Neural Networks Trained with Quadratic Loss MS Nakhodnov, MS Kodryan, EM Lobacheva, DS Vetrov Doklady Mathematics, 1-20, 2023 | | 2023 |
| 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 | | 2021 |
| 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 VetrovHigher School of Economics, AI Research Institute, MoscowVerified email at hse.ru
