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stat.ML2022
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
Yohan Jung, Jinkyoo Park
Convolutional deep sets are the architecture of a deep neural network (DNN) that can model stationary stochastic process. This architecture uses the kernel smoother and the DNN to…
stat.ML2020★ 1 cited
Approximate Inference for Spectral Mixture Kernel
Yohan Jung, Kyungwoo Song, Jinkyoo Park
A spectral mixture (SM) kernel is a flexible kernel used to model any stationary covariance function. Although it is useful in modeling data, the learning of the SM kernel is gener…