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cs.LG2026
Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data
Dip Roy, Rajiv Misra, Sanjay Kumar Singh +1
Although mechanism-based interpretability has generated an abundance of insight for discriminative network analysis, generative models are less understood -- particularly outside o…
cs.LG2026
A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Autoencoders
Dip Roy, Rajiv Misra, Sanjay Kumar Singh +1
Understanding how generative models represent and transform data is a foundational problem in deep learning interpretability. While mechanistic interpretability of discriminative a…