A diffusion-based contrastive analysis method that decomposes conditioning into common and salient factors with weak supervision and proves identifiability of the additive model.
Moment matching deep contrastive latent variable models.arXiv preprint arXiv:2202.10560, 2022
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Diff-CA: Separating Common and Salient Factors with Diffusion Models
A diffusion-based contrastive analysis method that decomposes conditioning into common and salient factors with weak supervision and proves identifiability of the additive model.