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Rajatsubhra Chakraborty

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#machine learning Preprint Sep 2026

Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction

A causal-abstraction-based audit instrument for efficiently evaluating fairness under interventions on the classifier-free guidance scale is proposed and experiments evaluate distributional fidelity, fairness-query accuracy, and computational efficiency.

Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, De-Peng Xu et al. · 0 citations

Preprint Aug 2026

MAVISEG: Manifold Propagation and Visual Prototypes for Zero-Shot Open-Vocabulary Segmentation in Diffusion Transformers

The results indicate that diffusion transformers carry more concept-level information than current attribution methods recover, and that much of it is lost on the way to the mask rather than absent from the model.

Rajatsubhra Chakraborty, Xu-Jun Che, Ritabrata Chakraborty et al. · 0 citations