Andrei Chertkov

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Top Venues

Frontiers Artif. Intell.

Publications

Gleb V. Ryzhakov, Andrei Chertkov, Artem Basharin, Ivan V. Oseledets
Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition. CoRR (2024)
Nikita Pospelov, Andrei Chertkov, Maxim Beketov, Ivan V. Oseledets, Konstantin Anokhin
Fast gradient-free activation maximization for neurons in spiking neural networks. CoRR (2024)
Andrei Chertkov, Gleb V. Ryzhakov, Georgii S. Novikov, Ivan V. Oseledets
Tensor Extrema Estimation Via Sampling: A New Approach for Determining Minimum/Maximum Elements. Comput. Sci. Eng. 25 (5) (2023)
Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
PROTES: Probabilistic Optimization with Tensor Sampling. CoRR (2023)
Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets
Understanding DDPM Latent Codes Through Optimal Transport. ICLR (2023)
Andrei Chertkov, Olga Tsymboi, Mikhail Pautov, Ivan V. Oseledets
Translate your gibberish: black-box adversarial attack on machine translation systems. CoRR (2023)
Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
PROTES: Probabilistic Optimization with Tensor Sampling. NeurIPS (2023)
Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
Black Box Approximation in the Tensor Train Format Initialized by ANOVA Decomposition. SIAM J. Sci. Comput. 45 (4) (2023)
Andrei Chertkov, Ivan V. Oseledets
Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models. CoRR (2023)
Artyom Nikitin, Andrei Chertkov, Rafael Ballester-Ripoll, Ivan V. Oseledets, Evgeny Frolov
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks. CoRR (2022)
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. CoRR (2022)
Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
Black box approximation in the tensor train format initialized by ANOVA decomposition. CoRR (2022)
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS (2022)
Andrei Chertkov, Gleb V. Ryzhakov, Georgii S. Novikov, Ivan V. Oseledets
Optimization of Functions Given in the Tensor Train Format. CoRR (2022)
Andrei Chertkov, Ivan V. Oseledets
Solution of the Fokker-Planck equation by cross approximation method in the tensor train format. CoRR (2021)
Andrei Chertkov, Ivan V. Oseledets
Solution of the Fokker-Planck Equation by Cross Approximation Method in the Tensor Train Format. Frontiers Artif. Intell. 4 (2021)