| Openvino deep learning workbench: Comprehensive analysis and tuning of neural networks inference Y Gorbachev, M Fedorov, I Slavutin, A Tugarev, M Fatekhov, Y Tarkan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 100 | 2019 |
| Openvino deep learning workbench: A platform for model optimization, analysis and deployment A Demidovskij, A Tugaryov, A Suvorov, Y Tarkan, M Fatekhov, I Salnikov, ... 2020 IEEE 32nd international conference on tools with artificial …, 2020 | 16 | 2020 |
| OpenVINO deep learning workbench: towards analytical platform for neural networks inference optimization A Demidovskij, A Tugaryov, A Kashchikhin, A Suvorov, Y Tarkan, ... Journal of physics: Conference series 1828 (1), 012012, 2021 | 12 | 2021 |
| Численное моделирование распространения черноморских и азовоморских цунами через Керченский пролив ЛИ Лобковский, РХ Мазова, ЕА Баранова, АМ Тугарев Морской гидрофизический журнал, 111-122, 2018 | 8 | 2018 |
| Numerical simulation of propagation of the Black Sea and the Azov Sea tsunami through the Kerch strait LI Lobkovsky, MR Kh, EA Baranova, AM Tugaryov Physical Oceanography 25 (2), 102-113, 2018 | 8 | 2018 |
| Accelerating object detection models inference within deep learning workbench A Demidovskij, A Tugaryov, M Fatekhov, E Aidova, E Stepyreva, ... 2021 International Conference on Engineering and Emerging Technologies …, 2021 | 7 | 2021 |
| Lightweight and Elegant Data Reduction Strategies for Training Acceleration of Convolutional Neural Networks A Demidovskij, A Tugaryov, A Trutnev, M Kazyulina, I Salnikov, S Pavlov Mathematics 11 (14), 3120, 2023 | 1 | 2023 |
| Implementation Challenges and Strategies for Hebbian Learning in Convolutional Neural Networks AV Demidovskij, MS Kazyulina, IG Salnikov, AM Tugaryov, AI Trutnev, ... Optical Memory and Neural Networks 32 (Suppl 2), S252-S264, 2023 | | 2023 |
| DAREL: Data Reduction with Losses for Training Acceleration of Real and Hypercomplex Neural Networks AV Demidovskij, A Trutnev, A Tugarev, I Salnikov, S Pavlov Workshop on Advancing Neural Network Training: Computational Efficiency …, 2023 | | 2023 |
| SPECTRAL ANALYSIS OF ENERGY DISTRIBUTION AT TSUNAMI WAVE PROPAGATION IN OKHOTSK SEA BASIN. A RASSADIN, A TUGARYOV, B KISELMAN, R MAZOVA, L LOBKOVSKY Science of Tsunami Hazards 36 (4), 2017 | | 2017 |
| DAREL: Training and Fine-Tuning Acceleration of Real and Hypercomplex Models I Salnikov, S Pavlov | | |
Alexander DemidovskijHigher School of Economics在 hse.ru 的电子邮件经过验证
Alexander DemidovskijHigher School of Economics在 hse.ru 的电子邮件经过验证
Maxim ShevtsovIntel在 intel.com 的电子邮件经过验证
Alexandr RassadinNational Research University Higher School of Economics在 hse.ru 的电子邮件经过验证