Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation. - Vitaly P. Zankin; Gleb V. Ryzhakov; Ivan V. Oseledets (CoRR, 2018)

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? - Charlie Vanaret; Philipp Seufert; Jan Schwientek; Gleb Karpov; Gleb V. Ryzhakov; Ivan V. Oseledets; Norbert Asprion; Michael Bortz (Comput. Chem. Eng., 2021)

Optimal soil sampling design based on the maxvol algorithm. - Anna Petrovskaia; Gleb V. Ryzhakov; Ivan V. Oseledets (CoRR, 2021)

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)

Constructive TT-representation of the tensors given as index interaction functions with applications. - Gleb V. Ryzhakov; Ivan V. Oseledets (ICLR, 2023)

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

Smart Flow Matching: On The Theory of Flow Matching Algorithms with Applications. - Gleb V. Ryzhakov; Svetlana Pavlova; Egor Sevriugov; Ivan V. Oseledets (CoRR, 2024)

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)