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Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior

This work introduces a latent spatial anomaly mask that models pixel-wise consistency between a test image and its latent corresponding pseudo-healthy image, and proposes an approximation of the unknown generation process that links healthy anatomy, anomalies, and the observed image, enabling a well-defined likelihood...

H. Roy, R. Dorent, Ninon Burgos · 0 citations
#machine learning Preprint Aug 2026

SinkSLOT: Sinkhorn via Sparse Lifted Optimal Transport

SinkSLOT is proposed, which addresses both limitations of the standard Sinkhorn-Knopp algorithm by putting forth the expected sliced lifted transport plan as a natural way to sparsify the Gibbs kernel with a non-independent prior coupling.

I-Sah Hsieh, S. Kundu, Tom Vercauteren et al. · 0 citations

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