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3min chapter
[28] Karen Ullrich - A Coding Perspective on Deep Latent Variable Models
The Thesis Review
Enhancing Differentiability in Image Reconstruction Models
This chapter explores the complexities of estimating uncertainty in deep latent variable models, emphasizing the representation of pixels as Gaussian distributions. It discusses the projection slice theorem's role in enhancing differentiability, highlighting advancements that increase the efficiency and precision of decoding systems in image analysis.
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