Solution of the Fokker-Planck Equation by Cross Approximation Method in the Tensor Train Format. - Andrei Chertkov; Ivan V. Oseledets (Frontiers Artif. Intell., 2021)

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. - Konstantin Sozykin; Andrei Chertkov; Roman Schutski; Anh-Huy Phan 001; Andrzej S. Cichocki; Ivan V. Oseledets (NeurIPS, 2022)

Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks. - Artyom Nikitin; Andrei Chertkov; Rafael Ballester-Ripoll; Ivan V. Oseledets; Evgeny Frolov (CoRR, 2022)

Optimization of Functions Given in the Tensor Train Format. - Andrei Chertkov; Gleb V. Ryzhakov; Georgii S. Novikov; Ivan V. Oseledets (CoRR, 2022)

Understanding DDPM Latent Codes Through Optimal Transport. - Valentin Khrulkov; Gleb V. Ryzhakov; Andrei Chertkov; Ivan V. Oseledets (ICLR, 2023)

PROTES: Probabilistic Optimization with Tensor Sampling. - Anastasia Batsheva; Andrei Chertkov; Gleb V. Ryzhakov; Ivan V. Oseledets (NeurIPS, 2023)

Translate your gibberish: black-box adversarial attack on machine translation systems. - Andrei Chertkov; Olga Tsymboi; Mikhail Pautov; Ivan V. Oseledets (CoRR, 2023)

Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models. - Andrei Chertkov; Ivan V. Oseledets (CoRR, 2023)

Tensor Extrema Estimation Via Sampling: A New Approach for Determining Minimum/Maximum Elements. - Andrei Chertkov; Gleb V. Ryzhakov; Georgii S. Novikov; Ivan V. Oseledets (Comput. Sci. Eng., 2023)

Black Box Approximation in the Tensor Train Format Initialized by ANOVA Decomposition. - Andrei Chertkov; Gleb V. Ryzhakov; Ivan V. Oseledets (SIAM J. Sci. Comput., 2023)

Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition. - Gleb V. Ryzhakov; Andrei Chertkov; Artem Basharin; Ivan V. Oseledets (CoRR, 2024)

Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition. - Artem Basharin; Andrei Chertkov; Ivan V. Oseledets (CoRR, 2024)

Fast gradient-free activation maximization for neurons in spiking neural networks. - Nikita Pospelov; Andrei Chertkov; Maxim Beketov; Ivan V. Oseledets; Konstantin Anokhin (Neurocomputing, 2025)

High-dimensional Optimization with Low Rank Tensor Sampling and Local Search. - Konstantin Sozykin; Andrei Chertkov; Anh Huy Phan 001; Ivan V. Oseledets; Gleb V. Ryzhakov (CoRR, 2025)