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Rwitobroto Dey

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Preprint Aug 2026

A Heterogeneous Mixture of Experts Framework for Interpretable Machine Learning

The proposed approach combines interpretability, adaptive inductive bias selection, and probabilistic coherence within a unified mixture-of-experts framework to achieve interpretable expert assignments while achieving predictive performance competitive with homogeneous MoDT and Random Forests.

Soham Chatterjee, Rwitobroto Dey, Smarajit Bose · 0 citations