Следене
Alexander Sergeev
Alexander Sergeev
CTO, Carbon Robotics
Потвърден имейл адрес: carbonrobotics.com
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Позовавания
Позовавания
Година
Horovod: fast and easy distributed deep learning in TensorFlow
A Sergeev, M Del Balso
arXiv preprint arXiv:1802.05799, 2018
12732018
An intriguing failing of convolutional neural networks and the coordconv solution
R Liu, J Lehman, P Molino, F Petroski Such, E Frank, A Sergeev, ...
Advances in neural information processing systems 31, 2018
9102018
Faster neural networks straight from jpeg
L Gueguen, A Sergeev, B Kadlec, R Liu, J Yosinski
Advances in Neural Information Processing Systems 31, 2018
2372018
fast and easy distributed deep learning in TensorFlow
A Sergeev, MH Del Balso
arXiv preprint arXiv:1802.05799, 2018
772018
Horovod: fast and easy distributed deep learning in TensorFlow. CoRR abs/1802.05799 (2018)
A Sergeev, M Del Balso
arXiv preprint arXiv:1802.05799, 2018
342018
Exascale deep learning for scientific inverse problems
N Laanait, J Romero, J Yin, MT Young, S Treichler, V Starchenko, ...
arXiv preprint arXiv:1909.11150, 2019
332019
Fast and easy distributed deep learning in TensorFlow. arXiv 2018
A Sergeev, MH Del Balso
arXiv preprint arXiv:1802.05799, 2020
282020
Meet Horovod: Uber’s open source distributed deep learning framework for tensorflow
A Sergeev, MD Balso
Uber Engineering Blog, 2017
182017
Dynamic scheduling of approximate telemetry queries
C Misa, W O'Connor, R Durairajan, R Rejaie, W Willinger
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022
112022
Accelerating collective communication in data parallel training across deep learning frameworks
J Romero, J Yin, N Laanait, B Xie, MT Young, S Treichler, V Starchenko, ...
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022
102022
Horovod: Fast and easy distributed deep learning in TensorFlow. arXiv
A Sergeev, MD Balso
arXiv preprint arXiv:1802.05799, 2018
92018
Decoding Inverse Imaging Problems in Materials with Distributed Deep Learning
N Laanait, A Borisevich, A Sergeev, S Treichler, M Matheson
APS March Meeting Abstracts 2019, B22. 008, 2019
2019
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