| Pseudo-skeleton approximations with better accuracy estimates AI Osinsky, NL Zamarashkin Linear Algebra and its Applications 537, 221-249, 2018 | 64 | 2018 |
| Low-rank method for fast solution of generalized Smoluchowski equations AI Osinsky Journal of Computational Physics 422, 109764, 2020 | 21 | 2020 |
| On the existence of a nearly optimal skeleton approximation of a matrix in the Frobenius norm NL Zamarashkin, AI Osinsky Doklady Mathematics 97, 164-166, 2018 | 21 | 2018 |
| New accuracy estimates for pseudoskeleton approximations of matrices NL Zamarashkin, AI Osinsky Doklady Mathematics 94, 643-645, 2016 | 21 | 2016 |
| Machine learning-assisted PAPR reduction in massive MIMO A Kalinov, R Bychkov, A Ivanov, A Osinsky, D Yarotsky IEEE Wireless Communications Letters 10 (3), 537-541, 2020 | 20 | 2020 |
| High performance interference suppression in multi-user massive MIMO detector A Ivanov, A Osinsky, D Lakontsev, D Yarotsky 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-5, 2020 | 19 | 2020 |
| Bayesian approach to channel interpolation in massive MIMO receiver A Osinsky, A Ivanov, D Yarotsky IEEE Communications Letters 24 (12), 2751-2755, 2020 | 18 | 2020 |
| Theoretical performance bound of uplink channel estimation accuracy in massive mimo A Osinsky, A Ivanov, D Yarotsky ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 17 | 2020 |
| Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics A Kalinov, AI Osinsky, SA Matveev, W Otieno, NV Brilliantov Journal of Computational Physics 467, 111439, 2022 | 16 | 2022 |
| Rectangular maximum volume and projective volume search algorithms A Osinsky arXiv preprint arXiv:1809.02334, 2018 | 16 | 2018 |
| Lower performance bound for beamspace channel estimation in massive mimo A Osinsky, A Ivanov, D Lakontsev, D Yarotsky IEEE Wireless Communications Letters 10 (2), 311-314, 2020 | 15 | 2020 |
| Temperature distribution in driven granular mixtures does not depend on mechanism of energy dissipation AS Bodrova, A Osinsky, NV Brilliantov Scientific Reports 10 (1), 693, 2020 | 14 | 2020 |
| Anomalous aggregation regimes of temperature-dependent Smoluchowski equations AI Osinsky, NV Brilliantov Physical Review E 105 (3), 034119, 2022 | 13 | 2022 |
| Size-polydisperse dust in molecular gas: energy equipartition versus nonequipartition A Osinsky, AS Bodrova, NV Brilliantov Physical Review E 101 (2), 022903, 2020 | 11 | 2020 |
| Global optimization algorithms using tensor trains DA Zheltkov, A Osinsky Large-Scale Scientific Computing: 12th International Conference, LSSC 2019 …, 2020 | 11 | 2020 |
| Regularization for cholesky decomposition in massive MIMO detection A Osinsky, R Bychkov, M Trefilov, V Lyashev, A Ivanov IEEE Wireless Communications Letters 12 (9), 1603-1607, 2023 | 9 | 2023 |
| Machine learning-assisted channel estimation in massive mimo receiver D Yarotsky, A Ivanov, R Bychkov, A Osinsky, A Savinov, M Trefilov, ... 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021 | 9 | 2021 |
| Data-aided ls channel estimation in massive mimo turbo-receiver A Osinsky, A Ivanov, D Lakontsev, R Bychkov, D Yarotsky 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-5, 2020 | 9 | 2020 |
| Tensor trains approximation estimates in the Chebyshev norm AI Osinsky Computational Mathematics and Mathematical Physics 59 (2), 201-206, 2019 | 9 | 2019 |
| Beamspace selection in multi-user massive MIMO V Molodtsov, R Bychkov, A Osinsky, D Yarotsky, A Ivanov IEEE Access 11, 18761-18771, 2023 | 7 | 2023 |
Dmitry YarotskySkolkovo Institute of Science and Technology, MoscowVerified email at skoltech.ru
