| Knowledge distillation: A good teacher is patient and consistent L Beyer, X Zhai, A Royer, L Markeeva, R Anil, A Kolesnikov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 341 | 2022 |
| Tap-vid: A benchmark for tracking any point in a video C Doersch, A Gupta, L Markeeva, A Recasens, L Smaira, Y Aytar, ... Advances in Neural Information Processing Systems 35, 13610-13626, 2022 | 136 | 2022 |
| Perception test: A diagnostic benchmark for multimodal video models V Patraucean, L Smaira, A Gupta, A Recasens, L Markeeva, D Banarse, ... Advances in Neural Information Processing Systems 36, 42748-42761, 2023 | 102 | 2023 |
| Automated multi-stage compression of neural networks J Gusak, M Kholiavchenko, E Ponomarev, L Markeeva, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 90* | 2019 |
| Interpolation technique to speed up gradients propagation in neural ODEs T Daulbaev, A Katrutsa, L Markeeva, J Gusak, A Cichocki, I Oseledets Advances in Neural Information Processing Systems 33, 16689-16700, 2020 | 30 | 2020 |
| Thermal stability of organic matter of typical chernozems under different land uses DS Volkov, OB Rogova, MA Proskurnin, YR Farkhodov, LB Markeeva Soil and Tillage Research 197, 104500, 2020 | 25 | 2020 |
| Towards understanding normalization in neural odes J Gusak, L Markeeva, T Daulbaev, A Katrutsa, A Cichocki, I Oseledets arXiv preprint arXiv:2004.09222, 2020 | 20 | 2020 |
| Estimating working set size by guest os performance counters means A Melekhova, L Markeeva CLOUD Comput 48, 33-38, 2015 | 17 | 2015 |
| Interpolated adjoint method for neural odes T Daulbaev, A Katrutsa, L Markeeva, J Gusak, A Cichocki, I Oseledets arXiv preprint arXiv:2003.05271, 2020 | 15 | 2020 |
| Transformers meet neural algorithmic reasoners W Bounsi, B Ibarz, A Dudzik, JB Hamrick, L Markeeva, A Vitvitskyi, ... arXiv preprint arXiv:2406.09308, 2024 | 12 | 2024 |
| QTT-isogeometric solver in two dimensions L Markeeva, I Tsybulin, I Oseledets Journal of Computational Physics 424, 109835, 2021 | 11 | 2021 |
| Avi Schwarzschild, and Petar Velickovic. The clrs-text algorithmic reasoning language benchmark L Markeeva, S McLeish, B Ibarz, W Bounsi, O Kozlova, A Vitvitskyi, ... arXiv preprint arXiv:2406.04229 1 (2), 2024 | 8 | 2024 |
| A generalized lottery ticket hypothesis I Alabdulmohsin, L Markeeva, D Keysers, I Tolstikhin arXiv preprint arXiv:2107.06825, 2021 | 7 | 2021 |
| Knowledge distillation: A good teacher is patient and consistent. In 2022 IEEE L Beyer, X Zhai, A Royer, L Markeeva, R Anil, A Kolesnikov CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10915-10924, 2021 | 7 | 2021 |
| Method for memory management for virtual machines AL Melekhova, L Markeeva US Patent 9,910,768, 2018 | 7 | 2018 |
| Automated multi-stage compression of neural networks. In 2019 IEEE J Gusak, M Kholyavchenko, E Ponomarev, L Markeeva, ... CVF International Conference on Computer Vision Workshop (ICCVW) pp, 2501-2508, 2019 | 6 | 2019 |
| Laser: Latent set representations for 3d generative modeling P Moreno, AR Kosiorek, H Strathmann, D Zoran, RG Schneider, ... arXiv preprint arXiv:2301.05747, 2023 | 5 | 2023 |
| The clrs-text algorithmic reasoning language benchmark L Markeeva, S McLeish, B Ibarz, W Bounsi, O Kozlova, A Vitvitskyi, ... arXiv preprint arXiv:2406.04229, 2024 | 3 | 2024 |
| Building z-permuted matrices in the QTT format LB Markeeva, IV Tsybulin Computational Mathematics and Mathematical Physics 60 (12), 2108-2115, 2020 | 1 | 2020 |
| Amplifying human performance in combinatorial competitive programming P Veličković, A Vitvitskyi, L Markeeva, B Ibarz, L Buesing, M Balog, ... arXiv preprint arXiv:2411.19744, 2024 | | 2024 |
Ivan OseledetsAIRI; Skolkovo Institute of Science and TechnologyPreverjeni e-poštni naslov na skoltech.ru