Exascale Deep Learning for Scientific Inverse Problems

24 September 2019

Papers citing "Exascale Deep Learning for Scientific Inverse Problems"

4 / 4 papers shown

Title
Integrating Deep Learning in Domain Sciences at Exascale Rick Archibald E. Chow E. DÁzevedo Jack J. Dongarra M. Eisenbach ... Florent Lopez Daniel Nichols S. Tomov Kwai Wong Junqi Yin PINN 23 5 0 23 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study Himanshu Sharma Elise Jennings BDL 27 3 0 23 May 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015