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cs.LG2026
iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis
Farica Zhuang, Seong Woo Han, Zixuan Wen +3
Alzheimer's Disease (AD) is a complex neurodegenerative disorder that continues to impact millions of people worldwide. Predicting AD conversion during the prodromal stage remains…
cs.LG2025
Large-Scale Bayesian Causal Discovery with Interventional Data
Seong Woo Han, Daniel Duy Vo, Brielin C. Brown
Inferring the causal relationships among a set of variables in the form of a directed acyclic graph (DAG) is an important but notoriously challenging problem. Recently, advancement…
cs.LG2024
Hierarchical Bayesian Crowdsourcing with Item Difficulty
Seong Woo Han, Ozan Adıgüzel, Bob Carpenter
In applied statistics and machine learning, the gold standards used for training are often biased and almost always noisy. Dawid and Skene's justifiably popular crowdsourcing model…