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Seokhun Park

2 accepted papers

2026

Bayesian Neural Networks for Functional ANOVA Model

ICLR 2026poster

With the increasing demand for interpretability in machine learning, functional ANOVA decomposition has gained renewed attention as a principled tool for breaking down high-dimensional function into low-dimensional components that reveal the contributions of different variable groups. Recently, Tens…

Cited by 0SourceScholar
2025

Tensor Product Neural Networks for Functional ANOVA Model

ICML 2025poster

Interpretability for machine learning models is becoming more and more important as machine learning models become more complex. The functional ANOVA model, which decomposes a high-dimensional function into a sum of lower dimensional functions (commonly referred to as components), is one of the mos…