45 citations · 93 across the 25 of their papers we have counts for
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stat.ML2017
Concept Formation and Dynamics of Repeated Inference in Deep Generative Models
Yoshihiro Nagano, Ryo Karakida, Masato Okada
Deep generative models are reported to be useful in broad applications including image generation. Repeated inference between data space and latent space in these models can denois…
math.OC2017★ 2 cited
Information Geometry Connecting Wasserstein Distance and Kullback-Leibler Divergence via the Entropy-Relaxed Transportation Problem
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
Two geometrical structures have been extensively studied for a manifold of probability distributions. One is based on the Fisher information metric, which is invariant under revers…