120 citations · 305 across the 23 of their papers we have counts for
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stat.ML2019★ 2 cited
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
Ryo Kamoi, Kei Kobayashi
Recent work has shown that deep generative models assign higher likelihood to out-of-distribution inputs than to training data. We show that a factor underlying this phenomenon is…
math.PR2019
Strong approximation of stochastic differential equations driven by a time-changed Brownian motion with time-space-dependent coefficients
Sixian Jin, Kei Kobayashi
The rate of strong convergence is investigated for an approximation scheme for a class of stochastic differential equations driven by a time-changed Brownian motion, where the rand…