| Pseudo-skeleton approximations with better accuracy estimates AI Osinsky, NL Zamarashkin Linear Algebra and its Applications 537, 221-249, 2018 | 61 | 2018 |
| New accuracy estimates for pseudoskeleton approximations of matrices NL Zamarashkin, AI Osinsky Doklady Mathematics 94, 643-645, 2016 | 20 | 2016 |
| 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 | 19 | 2018 |
| 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 | 16 | 2020 |
| Bayesian approach to channel interpolation in massive MIMO receiver A Osinsky, A Ivanov, D Yarotsky IEEE Communications Letters 24 (12), 2751-2755, 2020 | 16 | 2020 |
| Low-rank method for fast solution of generalized Smoluchowski equations AI Osinsky Journal of Computational Physics 422, 109764, 2020 | 15 | 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 | 15 | 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 | 14 | 2020 |
| Rectangular maximum volume and projective volume search algorithms A Osinsky arXiv preprint arXiv:1809.02334, 2018 | 14 | 2018 |
| 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 | 13 | 2022 |
| 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 | 12 | 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 | 12 | 2020 |
| 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 |
| Anomalous aggregation regimes of temperature-dependent Smoluchowski equations AI Osinsky, NV Brilliantov Physical Review E 105 (3), 034119, 2022 | 10 | 2022 |
| Tensor trains approximation estimates in the chebyshev norm AI Osinsky Computational Mathematics and Mathematical Physics 59 (2), 201-206, 2019 | 8 | 2019 |
| On the accuracy of cross and column low-rank maxvol approximations in average NL Zamarashkin, AI Osinsky Computational Mathematics and Mathematical Physics 61 (5), 786-798, 2021 | 7 | 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 | 7 | 2020 |
| Global optimization algorithms using tensor trains DA Zheltkov, A Osinsky Large-Scale Scientific Computing: 12th International Conference, LSSC 2019 …, 2020 | 7 | 2020 |
| Low-rank approximation algorithms for matrix completion with random sampling OS Lebedeva, AI Osinsky, SV Petrov Computational Mathematics and Mathematical Physics 61 (5), 799-815, 2021 | 6 | 2021 |
| Adaptive channel interpolation in high-speed massive mimo A Osinsky, R Bychkov, A Ivanov, D Yarotsky 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021 | 6 | 2021 |
Dmitry YarotskySkolkovo Institute of Science and Technology, MoscowVerified email at skoltech.ru
