1 citations · 2 across the 6 of their papers we have counts for
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stat.ML2024★ 1 cited
On Kernel-based Variational Autoencoder
Tian Qin, Wei-Min Huang
In this paper, we bridge Variational Autoencoders (VAEs) and kernel density estimations (KDEs) by approximating the posterior by KDEs and deriving an upper bound of the Kullback-Le…
stat.ML2024
Riemann-Lebesgue Forest for Regression
Tian Qin, Wei-Min Huang
We propose a novel ensemble method called Riemann-Lebesgue Forest (RLF) for regression. The core idea in RLF is to mimic the way how a measurable function can be approximated by pa…