Author

Chuxiang Wang

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Preprint Aug 2026

Wasserstein Mahalanobis Distances for Recovering Latent Geometry

The proposed Wasserstein Mahalanobis distance approximates the classical Mahalanobis distance between the transformed latent means and holds up to controlled higher-order error terms for general smooth transformations.

Chuxiang Wang, Shi-Ying Li, Caroline Moosmüller · 0 citations

#machine learning Preprint Sep 2026

Perceptually Regularized Diffusion Model for Image Super-Resolution

This work proposes a perceptually regularized diffusion framework that incorporates prior knowledge through perceptual-loss-based regularization, improving training convergence and encouraging the recovery of meaningful image features.

Chuxiang Wang, Pavithra Venkatachalapathy, Ying Liang et al. · 0 citations