Showing stat.MLShow all
2 papers · 1 filter
stat.ML2026
TabSODA: Tabular Diffusion based Imputation with Skip Pattern Detection and Ordinal Awareness
Yuyu Chen, Taehyo Kim, Hai Shu +1
Missing data imputation in large-scale surveys faces two challenges that are not well handled by current tabular diffusion methods. First, \emph{structural skips}, cells made inapp…
stat.ML2025
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
Taehyo Kim, Qiran Jia, Mony J. de Leon +1
False discovery rate (FDR) control methods are essential for voxel-wise multiple testing in neuroimaging data analysis, where hundreds of thousands or even millions of tests are co…