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ORCIDAlexandr Katrutsa
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2020 – today
- 2024
[j8]Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa
:
Multiparticle Kalman filter for object localization in symmetric environments. Expert Syst. Appl. 237(Part A): 121408 (2024)- [j7]Albert Saiapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin:
Federated privacy-preserving collaborative filtering for on-device next app prediction. User Model. User Adapt. Interact. 34(4): 1369-1398 (2024) - [i17]Yuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Andrey Pudovikov:
Fast UCB-type algorithms for stochastic bandits with heavy and super heavy symmetric noise. CoRR abs/2402.07062 (2024) - [i16]Alexander Demin, Yuriy Dorn, Aleksandr Katrutsa, Daniil Kazantsev, Ilgam Latypov, Yulia Maximlyuk, Denis K. Ponomaryov:
EEvA: Fast Expert-Based Algorithms for Buffer Page Replacement. CoRR abs/2405.00154 (2024) - [i15]Aleksandr Katrutsa, Ivan V. Oseledets, Sergey Utyuzhnikov:
Data-driven optimal prediction with control. CoRR abs/2406.01991 (2024) - 2023
- [j6]Aleksandr Katrutsa, Sergey Utyuzhnikov, Ivan V. Oseledets:
Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. J. Comput. Phys. 476: 111913 (2023) - [j5]Nikita Stasenko, Dmitry Shadrin, Alexandr Katrutsa, Andrey Somov:
Dynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [c3]Daria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets:
Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images. UNSURE@MICCAI 2023: 115-125 - [i14]Albert Sayapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin:
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction. CoRR abs/2303.04744 (2023) - [i13]Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa:
Multiparticle Kalman filter for object localization in symmetric environments. CoRR abs/2303.07897 (2023) - [i12]Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa:
Memory-efficient particle filter recurrent neural network for object localization. CoRR abs/2310.01595 (2023) - 2022
- [c2]Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont:
Survey on Efficient Training of Large Neural Networks. IJCAI 2022: 5494-5501 - [i11]Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets:
Memory-Efficient Backpropagation through Large Linear Layers. CoRR abs/2201.13195 (2022) - [i10]Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont:
Survey on Large Scale Neural Network Training. CoRR abs/2202.10435 (2022) - [i9]Alexandr Katrutsa, Sergey Utyuzhnikov, Ivan V. Oseledets:
Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. CoRR abs/2202.11432 (2022) - [i8]Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Ivan V. Oseledets:
NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers. CoRR abs/2209.14937 (2022) - 2021
- [i7]Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan V. Oseledets:
Meta-Solver for Neural Ordinary Differential Equations. CoRR abs/2103.08561 (2021) - 2020
- [j4]Alexandr Katrutsa, Talgat Daulbaev, Ivan V. Oseledets:
Black-box learning of multigrid parameters. J. Comput. Appl. Math. 368 (2020) - [c1]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. NeurIPS 2020 - [i6]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolated Adjoint Method for Neural ODEs. CoRR abs/2003.05271 (2020) - [i5]Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets:
Towards Understanding Normalization in Neural ODEs. CoRR abs/2004.09222 (2020) - [i4]Alexandr Katrutsa, Daniil Merkulov, Nurislam Tursynbek, Ivan V. Oseledets:
Follow the bisector: a simple method for multi-objective optimization. CoRR abs/2007.06937 (2020)
2010 – 2019
- 2019
- [i3]Alexandr Katrutsa, Ivan V. Oseledets:
Preconditioning Kaczmarz method by sketching. CoRR abs/1903.01806 (2019) - [i2]Alexandr Katrutsa, Mike A. Botchev, Ivan V. Oseledets:
Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential. CoRR abs/1909.13059 (2019) - 2017
- [j3]Ivan V. Oseledets, G. V. Ovchinnikov, Alexandr M. Katrutsa:
Fast, memory-efficient low-rank approximation of SimRank. J. Complex Networks 5(1): 111-126 (2017) - [j2]Alexandr Katrutsa, Vadim V. Strijov:
Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria. Expert Syst. Appl. 76: 1-11 (2017) - 2015
- [j1]Alexandr Katrutsa, Mikhail P. Kuznetsov, Konstantin V. Rudakov, Vadim V. Strijov:
Metric concentration search procedure using reduced matrix of pairwise distances. Intell. Data Anal. 19(5): 1091-1108 (2015) - [i1]Ivan V. Oseledets, G. V. Ovchinnikov, Alexandr M. Katrutsa:
Linear complexity SimRank computation based on the iterative diagonal estimation. CoRR abs/1502.07167 (2015)
Coauthor Index
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