69 citations · 130 across the 3 of their papers we have counts for
3 papers
Improved generator objectives for GANs
Ben Poole, Alexander A. Alemi, Jascha Sohl-Dickstein +1
We present a framework to understand GAN training as alternating density ratio estimation and approximate divergence minimization. This provides an interpretation for the mismatche…
Survey of Expressivity in Deep Neural Networks
Maithra Raghu, Ben Poole, Jon Kleinberg +2
We survey results on neural network expressivity described in "On the Expressive Power of Deep Neural Networks". The paper motivates and develops three natural measures of expressi…
Analyzing noise in autoencoders and deep networks
Ben Poole, Jascha Sohl-Dickstein, Surya Ganguli
Autoencoders have emerged as a useful framework for unsupervised learning of internal representations, and a wide variety of apparently conceptually disparate regularization techni…