| Understanding ddpm latent codes through optimal transport V Khrulkov, G Ryzhakov, A Chertkov, I Oseledets arXiv preprint arXiv:2202.07477, 2022 | 36 | 2022 |
| TTOpt: A maximum volume quantized tensor train-based optimization and its application to reinforcement learning K Sozykin, A Chertkov, R Schutski, AH Phan, AS Cichocki, I Oseledets Advances in Neural Information Processing Systems 35, 26052-26065, 2022 | 24 | 2022 |
| Solution of the Fokker–Planck equation by cross approximation method in the tensor train format A Chertkov, I Oseledets Frontiers in Artificial Intelligence 4, 668215, 2021 | 16 | 2021 |
| Optimization of functions given in the tensor train format A Chertkov, G Ryzhakov, G Novikov, I Oseledets arXiv preprint arXiv:2209.14808, 2022 | 9 | 2022 |
| Robust discretization in quantized tensor train format for elliptic problems in two dimensions AV Chertkov, IV Oseledets, MV Rakhuba arXiv preprint arXiv:1612.01166, 2016 | 8 | 2016 |
| Black box approximation in the tensor train format initialized by ANOVA decomposition A Chertkov, G Ryzhakov, I Oseledets SIAM Journal on Scientific Computing 45 (4), A2101-A2118, 2023 | 7 | 2023 |
| Overview of visualization methods for artificial neural networks SA Matveev, IV Oseledets, ES Ponomarev, AV Chertkov Computational Mathematics and Mathematical Physics 61 (5), 887-899, 2021 | 7 | 2021 |
| Black-box solver for multiscale modelling using the QTT format IV Oseledets, MV Rakhuba, AV Chertkov Proc. ECCOMAS. Crete Island, Greece, 2016 | 7 | 2016 |
| PROTES: probabilistic optimization with tensor sampling A Batsheva, A Chertkov, G Ryzhakov, I Oseledets Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Are quantum computers practical yet? a case for feature selection in recommender systems using tensor networks A Nikitin, A Chertkov, R Ballester-Ripoll, I Oseledets, E Frolov arXiv preprint arXiv:2205.04490, 2022 | 6 | 2022 |
| Метод линеаризованных присоединенных цилиндрических волн для расчета зонной структуры нанотрубок AV Chertkov, NS Pereslavtseva, OI Dubrovskii, SI Kurganskii Condensed Matter and Interphases 14 (3), 342-348, 2012 | 4 | 2012 |
| Tensor Extrema Estimation via Sampling: A New Approach for Determining Min/Max Elements A Chertkov, G Ryzhakov, G Novikov, I Oseledets Computing in Science & Engineering, 2023 | 1 | 2023 |
| Translate your gibberish: black-box adversarial attack on machine translation systems A Chertkov, O Tsymboi, M Pautov, I Oseledets arXiv preprint arXiv:2303.10974, 2023 | 1 | 2023 |
| Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition G Ryzhakov, A Chertkov, A Basharin, I Oseledets arXiv preprint arXiv:2402.02890, 2024 | | 2024 |
| Fast gradient-free activation maximization for neurons in spiking neural networks N Pospelov, A Chertkov, M Beketov, I Oseledets, K Anokhin arXiv preprint arXiv:2401.10748, 2023 | | 2023 |
| Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models A Chertkov, I Oseledets arXiv preprint arXiv:2312.12556, 2023 | | 2023 |
| Обзор методов визуализации искусственных нейронных сетей СА Матвеев, ИВ Оселедец, ЕС Пономарев, АВ Чертков Журнал вычислительной математики и математической физики 61 (5), 896-910, 2021 | | 2021 |
| Black-box solver for one dimensional multiscale modelling using the QTT format IV Oseledets, MV Rakhuba, AV Chertkov ECCOMAS Congress 2016-Proceedings of the 7th European Congress on …, 2016 | | 2016 |
| Statistical analysis of the Neumann-Pirson detection criterion for random quantities obeying a poisson distribution MV Kosov, AV Chertkov Instruments and Experimental Techniques 58, 221-228, 2015 | | 2015 |
Ivan OseledetsAIRI; Skolkovo Institute of Science and TechnologyVerified email at skoltech.ru
