Wasserstein Learning of Deep Generative Point Process Models

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha

Neural Information Processing Systems 

Currently, they are often characterized via intensity function which limits model's expressiveness due to unrealistic assumptions on

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