| Quantitatively evaluating GANs with divergences proposed for training DJ Im, H Ma, G Taylor, K Branson arXiv preprint arXiv:1803.01045, 2018 | 82 | 2018 |
| Theano-mpi: a theano-based distributed training framework H Ma, F Mao, GW Taylor Euro-Par 2016: Parallel Processing Workshops: Euro-Par 2016 International …, 2017 | 53 | 2017 |
| Generative adversarial parallelization DJ Im, H Ma, CD Kim, G Taylor arXiv preprint arXiv:1612.04021, 2016 | 43 | 2016 |
| Quantitatively evaluating GANs with divergences proposed for training D Jiwoong Im, H Ma, G Taylor, K Branson ArXiv e-prints, arXiv: 1803.01045, 2018 | 5 | 2018 |
| Generative adversarial parallelization D Jiwoong Im, H Ma, C Dongjoo Kim, G Taylor ArXiv e-prints, arXiv: 1612.04021, 2016 | 2 | 2016 |
Graham TaylorUniversity of Guelph and Vector Institute for Artificial IntelligenceVerified email at uoguelph.ca
