Aleksandr Katrutsa
Aleksandr Katrutsa
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Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria
A Katrutsa, V Strijov
Expert Systems with Applications 76, 1-11, 2017
Black-box learning of multigrid parameters
A Katrutsa, T Daulbaev, I Oseledets
Journal of Computational and Applied Mathematics 368, 112524, 2020
Interpolation technique to speed up gradients propagation in neural ODEs
T Daulbaev, A Katrutsa, L Markeeva, J Gusak, A Cichocki, I Oseledets
Advances in Neural Information Processing Systems 33, 16689-16700, 2020
Stress test procedure for feature selection algorithms
AM Katrutsa, VV Strijov
Chemometrics and Intelligent Laboratory Systems 142, 172-183, 2015
Towards understanding normalization in neural ODEs
J Gusak, L Markeeva, T Daulbaev, A Katrutsa, A Cichocki, I Oseledets
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
Survey on Efficient Training of Large Neural Networks.
J Gusak, D Cherniuk, A Shilova, A Katrutsa, D Bershatsky, X Zhao, ...
IJCAI, 5494-5501, 2022
Machine learning methods for estimation the indicators of phosphogypsum influence in soil
MA Pukalchik, AM Katrutsa, D Shadrin, VA Terekhova, IV Oseledets
Journal of Soils and Sediments 19, 2265-2276, 2019
Robust selection of multicollinear features in forecasting
RG Neichev, AM Katrutsa, VV Strizhov
Industrial laboratory. Diagnostics of materials 82 (3), 68-74, 2016
Follow the bisector: a simple method for multi-objective optimization
A Katrutsa, D Merkulov, N Tursynbek, I Oseledets
arXiv preprint arXiv:2007.06937, 2020
Fast, memory-efficient low-rank approximation of SimRank
IV Oseledets, GV Ovchinnikov, AM Katrutsa
Journal of Complex Networks 5 (1), 111-126, 2017
Multiparticle Kalman filter for object localization in symmetric environments
R Korkin, I Oseledets, A Katrutsa
Expert Systems with Applications 237, 121408, 2024
Memory-Efficient Backpropagation through Large Linear Layers
D Bershatsky, A Mikhalev, A Katrutsa, J Gusak, D Merkulov, I Oseledets
arXiv preprint arXiv:2201.13195, 2022
Extension of dynamic mode decomposition for dynamic systems with incomplete information based on t-model of optimal prediction
A Katrutsa, S Utyuzhnikov, I Oseledets
Journal of Computational Physics 476, 111913, 2023
Проблема мультиколлинеарности при выборе признаков в регрессионных задачах
АМ Катруца, ВВ Стрижов
Информационные технологии 21 (1), 8-18, 2015
Dynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples
N Stasenko, D Shadrin, A Katrutsa, A Somov
IEEE Transactions on Instrumentation and Measurement, 2023
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer
V Leplat, D Merkulov, A Katrutsa, D Bershatsky, O Tsymboi, I Oseledets
arXiv preprint arXiv:2209.14937, 2022
Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential
A Katrutsa, M Botchev, I Oseledets
arXiv preprint arXiv:1909.13059, 2019
How to optimize preconditioners for the conjugate gradient method: a stochastic approach
A Katrutsa, M Botchev, G Ovchinnikov, I Oseledets
arXiv preprint arXiv:1806.06045, 2018
Metric concentration search procedure using reduced matrix of pairwise distances
AM Katrutsa, MP Kuznetsov, KV Rudakov, VV Strijov
Intelligent Data Analysis 19 (5), 1091-1108, 2015
Meta-solver for neural ordinary differential equations
J Gusak, A Katrutsa, T Daulbaev, A Cichocki, I Oseledets
arXiv preprint arXiv:2103.08561, 2021
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