Search Results for author: Seyun Um

Found 1 papers, 0 papers with code

ReCAB-VAE: Gumbel-Softmax Variational Inference Based on Analytic Divergence

no code implementations9 May 2022 Sangshin Oh, Seyun Um, Hong-Goo Kang

In this work, we present a relaxed categorical analytic bound (ReCAB), a novel divergence-like metric which corresponds to the upper bound of the Kullback-Leibler divergence (KLD) of a relaxed categorical distribution.

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