He Ma
He Ma
School of Engineering, University of Guelph
Verified email at uoguelph.ca - Homepage
Title
Cited by
Cited by
Year
Quantitatively evaluating GANs with divergences proposed for training
DJ Im, H Ma, G Taylor, K Branson
arXiv preprint arXiv:1803.01045, 2018
492018
Theano-mpi: a theano-based distributed training framework
H Ma, F Mao, GW Taylor
European Conference on Parallel Processing, 800-813, 2016
372016
Generative adversarial parallelization
DJ Im, H Ma, CD Kim, G Taylor
arXiv preprint arXiv:1612.04021, 2016
182016
Quantitatively Evaluating GANs With Divergences Proposed for Training
D Jiwoong Im, H Ma, G Taylor, K Branson
arXiv, arXiv: 1803.01045, 2018
42018
Generative adversarial parallelization
D Jiwoong Im, H Ma, C Dongjoo Kim, G Taylor
arXiv, arXiv: 1612.04021, 2016
22016
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Articles 1–5