Andrei Chertkov

According to our database, Andrei Chertkov authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition.

Artem Basharin, Andrei Chertkov, Ivan V. Oseledets

CoRR, 2024

Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition.

Gleb V. Ryzhakov, Andrei Chertkov, Artem Basharin, 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

CoRR, 2024

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., August, 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

Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models.

Andrei Chertkov, Ivan V. Oseledets

CoRR, 2023

Translate your gibberish: black-box adversarial attack on machine translation systems.

Andrei Chertkov, Olga Tsymboi, Mikhail Pautov, Ivan V. Oseledets

CoRR, 2023

PROTES: Probabilistic Optimization with Tensor Sampling.

Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding DDPM Latent Codes Through Optimal Transport.

Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Optimization of Functions Given in the Tensor Train Format.

Andrei Chertkov, Gleb V. Ryzhakov, Georgii S. Novikov, Ivan V. Oseledets

CoRR, 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

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning.

Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Solution of the Fokker-Planck Equation by Cross Approximation Method in the Tensor Train Format.

Andrei Chertkov, Ivan V. Oseledets

Frontiers Artif. Intell., 2021