Managing Knowledge and Learning at NASA and the Jet Propulsion Laboratory (JPL) McKinsey Co Managing Knowledge and Learning Siemens ShareNet Building a Knowledge Network Wikis at Dresdner Kleinwort Wasserstein
新论文：最近6个月以内的 Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models, S. Ioffe. Wasserstein GAN, M. Arjovsky et al. Understanding deep learning requires rethinking generalization, C. Zhang et al. [pdf] 老论文：2012年以前的 An
We propose the Wasserstein Auto-Encoder (WAE)|a new algorithm for building a generative model of the data distribution. WAE minimizes a penalized form of the Wasserstein distance between the model distribution and the target distribution, which lead
最佳路径与wasserstein距离的介绍与应用。 The Wasserstein distance | which arises from the idea of optimal transport | is being used more and more in Statistics and Machine Learning. In these notes we review some of the basics about this topic.
