Linear complexity SimRank computation based on the iterative diagonal estimation. - Ivan V. Oseledets; G. V. Ovchinnikov; Alexandr M. Katrutsa (CoRR, 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)

Fast, memory-efficient low-rank approximation of SimRank. - Ivan V. Oseledets; G. V. Ovchinnikov; Alexandr M. Katrutsa (J. Complex Networks, 2017)

Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria. - Alexandr Katrutsa; Vadim V. Strijov (Expert Syst. Appl., 2017)

Preconditioning Kaczmarz method by sketching. - Alexandr Katrutsa; Ivan V. Oseledets (CoRR, 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)

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. - Talgat Daulbaev; Alexandr Katrutsa; Larisa Markeeva; Julia Gusak; Andrzej Cichocki; Ivan V. Oseledets (NeurIPS, 2020)

Interpolated Adjoint Method for Neural ODEs. - Talgat Daulbaev; Alexandr Katrutsa; Larisa Markeeva; Julia Gusak; Andrzej Cichocki; 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)

Follow the bisector: a simple method for multi-objective optimization. - Alexandr Katrutsa; Daniil Merkulov; Nurislam Tursynbek; Ivan V. Oseledets (CoRR, 2020)

Black-box learning of multigrid parameters. - Alexandr Katrutsa; Talgat Daulbaev; Ivan V. Oseledets (J. Comput. Appl. Math., 2020)

Meta-Solver for Neural Ordinary Differential Equations. - Julia Gusak; Alexandr Katrutsa; Talgat Daulbaev; Andrzej Cichocki; Ivan V. Oseledets (CoRR, 2021)

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 (IJCAI, 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 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)

NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers. - Valentin Leplat; Daniil Merkulov; Aleksandr Katrutsa; Daniel Bershatsky; Ivan V. Oseledets (CoRR, 2022)

Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images. - Daria Frolova; Aleksandr Katrutsa; Ivan V. Oseledets (UNSURE@MICCAI, 2023)

Memory-efficient particle filter recurrent neural network for object localization. - Roman Korkin; Ivan V. Oseledets; Aleksandr Katrutsa (CoRR, 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)

Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. - Aleksandr Katrutsa; Sergey V. Utyuzhnikov; Ivan V. Oseledets (J. Comput. Phys., 2023)

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)

Multiparticle Kalman filter for object localization in symmetric environments. - Roman Korkin; Ivan V. Oseledets; Aleksandr Katrutsa (Expert Syst. Appl., 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., 2024)

Fast UCB-type Algorithms for Stochastic Bandits with Heavy and Super Heavy Symmetric Noise. - Yuriy Dorn; Aleksandr Katrutsa; Ilgam Latypov; Andrey Pudovikov (AAMAS, 2025)

Data-driven optimal prediction with control. - Aleksandr Katrutsa; Ivan V. Oseledets; Sergey V. Utyuzhnikov (Commun. Nonlinear Sci. Numer. Simul., 2025)

Functional multi-armed bandit and the best function identification problems. - Yuriy Dorn; Aleksandr Katrutsa; Ilgam Latypov; Anastasiia Soboleva (CoRR, 2025)

RARe: Raising Ad Revenue Framework with Context-Aware Reranking. - Ekaterina Solodneva; Alexandra Khirianova; Aleksandr Katrutsa; Roman Loginov; Andrey Tikhanov; Egor Samosvat; Yuriy Dorn (CoRR, 2025)

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node. - Aleksandr Mikhalev; Aleksandr Katrutsa; Konstantin Sozykin; Ivan V. Oseledets (CoRR, 2025)

Cluster Topology-Driven Placement of Experts Reduces Network Traffic in MoE Inference. - Danil Sivtsov; Aleksandr Katrutsa; Ivan V. Oseledets (CoRR, 2025)