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Exascale Deep Learning for Scientific Inverse Problems

Exascale Deep Learning for Scientific Inverse Problems

24 September 2019
N. Laanait
Josh Romero
Junqi Yin
M. T. Young
Sean Treichler
V. Starchenko
A. Borisevich
Alexander Sergeev
Michael A. Matheson
    FedML
    BDL
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Papers citing "Exascale Deep Learning for Scientific Inverse Problems"

2 / 2 papers shown
Title
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
15
79
0
17 Sep 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
429
15,595
0
02 Nov 2015
1