Training generative neural networks via Maximum Mean Discrepancy optimization

14 May 2015Gintare Karolina DziugaiteDaniel M. RoyZoubin Ghahramani

We consider training a deep neural network to generate samples from an unknown distribution given i.i.d. data... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet