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Larisa Markeeva
Larisa Markeeva
DeepMind
Verified email at deepmind.com
Title
Cited by
Cited by
Year
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
2422022
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
73*2019
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
702022
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
282020
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
192020
Towards understanding normalization in neural odes
J Gusak, L Markeeva, T Daulbaev, A Katrutsa, A Cichocki, I Oseledets
arXiv preprint arXiv:2004.09222, 2020
172020
Estimating working set size by guest os performance counters means
A Melekhova, L Markeeva
CLOUD Comput 48, 33-38, 2015
172015
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, 2024
152024
Interpolated adjoint method for neural odes
T Daulbaev, A Katrutsa, L Markeeva, J Gusak, A Cichocki, I Oseledets
arXiv preprint arXiv:2003.05271, 2020
142020
Knowledge distillation: A good teacher is patient and consistent. 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
82021
A generalized lottery ticket hypothesis
I Alabdulmohsin, L Markeeva, D Keysers, I Tolstikhin
arXiv preprint arXiv:2107.06825, 2021
72021
QTT-isogeometric solver in two dimensions
L Markeeva, I Tsybulin, I Oseledets
Journal of Computational Physics 424, 109835, 2021
62021
Method for memory management for virtual machines
AL Melekhova, L Markeeva
US Patent 9,910,768, 2018
62018
Automated multi-stage compression of neural networks. 2019 IEEE
J Gusak, M Kholyavchenko, E Ponomarev, L Markeeva, ...
CVF International Conference on Computer Vision Workshop (ICCVW) pp, 2501-2508, 2019
52019
Laser: Latent set representations for 3d generative modeling
P Moreno, AR Kosiorek, H Strathmann, D Zoran, RG Schneider, ...
arXiv preprint arXiv:2301.05747, 2023
32023
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
2024
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain
AI Boyko, A Kornilova, R Tariverdizadeh, M Musavian, L Markeeva, ...
arXiv preprint arXiv:2304.05342, 2023
2023
Building z-permuted matrices in the QTT format
LB Markeeva, IV Tsybulin
Computational Mathematics and Mathematical Physics 60 (12), 2108-2115, 2020
2020
Artificial neural networks compression system based on iterative application of tensor approximations
Г Юлия, П Евгений, М Лариса, Ч Анджей, О Иван, Х Максим
RU Patent RU2734579C1, 2020
2020
Однородность виртуализационных событий, порожденных различными операционными системами
ЛБ Маркеева, АЛ Мелехова, АГ Тормасов
Труды Московского физико-технического института 6 (3 (23)), 57-64, 2014
2014
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