AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is demonstrated that, with a new encoding, CRNs can compute any set of polynomial functions subject only to the limitation that these functions must map the unit interval to itself.
Diffusion-Conditioned Representation Alignment (DCRA), a training framework that repurposes the forward diffusion process as a structured corruption scheduler for representation learning, and produces more balanced and structured representations compared to baseline and diffusion-only models.
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