Alexandr Katrutsa

According to our database, Alexandr Katrutsa authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Federated privacy-preserving collaborative filtering for on-device next app prediction.

Albert Saiapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin

User Model. User Adapt. Interact., September, 2024

Multiparticle Kalman filter for object localization in symmetric environments.

Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa

Expert Syst. Appl., March, 2024

Data-driven optimal prediction with control.

Aleksandr Katrutsa, Ivan V. Oseledets, Sergey Utyuzhnikov

CoRR, 2024

EEvA: Fast Expert-Based Algorithms for Buffer Page Replacement.

Alexander Demin, Yuriy Dorn, Aleksandr Katrutsa, Daniil Kazantsev, Ilgam Latypov, Yulia Maximlyuk, Denis K. Ponomaryov

CoRR, 2024

Fast UCB-type algorithms for stochastic bandits with heavy and super heavy symmetric noise.

Yuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Andrey Pudovikov

CoRR, 2024

2023

Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction.

Aleksandr Katrutsa, Sergey Utyuzhnikov, Ivan V. Oseledets

J. Comput. Phys., March, 2023

Dynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples.

Nikita Stasenko, Dmitrii Shadrin, Alexandr Katrutsa, Andrey Somov

IEEE Trans. Instrum. Meas., 2023

Memory-efficient particle filter recurrent neural network for object localization.

Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa

CoRR, 2023

Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images.

Daria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022

NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers.

Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Ivan V. Oseledets

CoRR, 2022

Survey on Large Scale Neural Network Training.

Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont

CoRR, 2022

Memory-Efficient Backpropagation through Large Linear Layers.

Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets

CoRR, 2022

Survey on Efficient Training of Large Neural Networks.

Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Meta-Solver for Neural Ordinary Differential Equations.

Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan V. Oseledets

CoRR, 2021

2020

Black-box learning of multigrid parameters.

Alexandr Katrutsa, Talgat Daulbaev, Ivan V. Oseledets

J. Comput. Appl. Math., 2020

Follow the bisector: a simple method for multi-objective optimization.

Alexandr Katrutsa, Daniil Merkulov, Nurislam Tursynbek, Ivan V. Oseledets

CoRR, 2020

Towards Understanding Normalization in Neural ODEs.

Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets

CoRR, 2020

Interpolated Adjoint Method for Neural ODEs.

Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets

CoRR, 2020

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs.

Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential.

Alexandr Katrutsa, Mike A. Botchev, Ivan V. Oseledets

CoRR, 2019

Preconditioning Kaczmarz method by sketching.

Alexandr Katrutsa, Ivan V. Oseledets

CoRR, 2019

2017

Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria.

Alexandr Katrutsa, Vadim V. Strijov

Expert Syst. Appl., 2017

Fast, memory-efficient low-rank approximation of SimRank.

Ivan V. Oseledets, G. V. Ovchinnikov, Alexandr M. Katrutsa

J. Complex Networks, 2017

2015

Metric concentration search procedure using reduced matrix of pairwise distances.

Alexandr Katrutsa, Mikhail P. Kuznetsov, Konstantin V. Rudakov, Vadim V. Strijov

Intell. Data Anal., 2015

Linear complexity SimRank computation based on the iterative diagonal estimation.

Ivan V. Oseledets, G. V. Ovchinnikov, Alexandr M. Katrutsa

CoRR, 2015