Andrei Chertkov

Mathematics · Physical Sciences

4h-index49citations21works0.22yr avg
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Research Topics

Tensor decomposition and applications(14), Matrix Theory and Algorithms(6), Computational Physics and Python Applications(4), Advanced Neural Network Applications(2), Parallel Computing and Optimization Techniques(2)

Publications21 total

Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers
arXiv (Cornell University)·2025Open Access
High-dimensional Optimization with Low Rank Tensor Sampling and Local Search
arXiv (Cornell University)·2025Open Access
Fast gradient-free activation maximization for neurons in spiking neural networks
Neurocomputing·2024· 1 cited
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition
arXiv (Cornell University)·2024Open Access
Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition
arXiv (Cornell University)·2024Open Access
Fast gradient-free activation maximization for neurons in spiking neural networks
arXiv (Cornell University)·2023Open Access
Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models
arXiv (Cornell University)·2023Open Access
Tensor Extrema Estimation Via Sampling: A New Approach for Determining Minimum/Maximum Elements
Computing in Science & Engineering·2023· 3 cited
Black Box Approximation in the Tensor Train Format Initialized by ANOVA Decomposition
SIAM Journal on Scientific Computing·2023· 7 cited
Translate your gibberish: black-box adversarial attack on machine translation systems
arXiv (Cornell University)·2023Open Access
PROTES: Probabilistic Optimization with Tensor Sampling
arXiv (Cornell University)·2023· 3 citedOpen Access
Optimization of Functions Given in the Tensor Train Format
arXiv (Cornell University)·2022· 2 citedOpen Access
Black box approximation in the tensor train format initialized by ANOVA decomposition
arXiv (Cornell University)·2022Open Access
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks
arXiv (Cornell University)·2022· 3 citedOpen Access
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
arXiv (Cornell University)·2022· 9 citedOpen Access
Solution of the Fokker–Planck Equation by Cross Approximation Method in the Tensor Train Format
Frontiers in Artificial Intelligence·2021Open Access
Overview of Visualization Methods for Artificial Neural Networks
Computational Mathematics and Mathematical Physics·2021· 15 cited
Solution of the Fokker-Planck equation by cross approximation method in\n the tensor train format
arXiv (Cornell University)·2021Open Access
Robust discretization in quantized tensor train format for elliptic problems in two dimensions
arXiv (Cornell University)·2016· 4 citedOpen Access
BLACK-BOX SOLVER FOR ONE-DIMENSIONAL MULTISCALE MODELLING USING THE QTT FORMAT
2016· 2 citedOpen Access
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Frequent Co-authors

Ivan Oseledets(20), Gleb Ryzhakov(7), Artem Basharin(3), Konstantin Sozykin(2), Anh Huy Phan(2), Maxim Rakhuba(2), Evgeny Frolov(2), Georgii Novikov(2), Nikita Pospelov(2), Maxim Beketov(2), K. V. Anokhin(2), С. А. Матвеев(1), Evgeny Ponomarev(1), Roman Schutski(1), Andrzej Cichocki(1), Artyom Nikitin(1), Rafael Ballester‐Ripoll(1), Anastasia Batsheva(1), M. Yu. Saygin(1), S. S. Straupe(1)