Tabular VAEs show ~50% lower causal circuit modularity than image VAEs, with beta-VAE CES collapsing to 0.043 versus 0.133 due to reconstruction degradation, challenging direct transfer of image interpretability techniques.
Experiment tracking with Weights and Biases,
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Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data
Tabular VAEs show ~50% lower causal circuit modularity than image VAEs, with beta-VAE CES collapsing to 0.043 versus 0.133 due to reconstruction degradation, challenging direct transfer of image interpretability techniques.