AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Modern conditional generative models face significant challenges when learning complex covariate dependencies. While sufficient dimension reduction (SDR) provides a principled approach to compress these dependencies, traditional SDR frameworks were not formulated for conditional generation. To bridge this gap, we propo...
The Distance Profile Embedding is introduced, a novel representation that maps random objects from general metric spaces into a Hilbert space of square-integrable functions and it is proved that this mapping is injective and preserves full distributional information without requiring isometric Hilbert embeddings or one...
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