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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

H. Lillemark

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2 papers indexed here

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Book Open access Aug 2026

Vector-Space Projection and Unified Complex-Valued Acceleration for Scaling Matrix-Based Brain-Inspired Representations

This work proposes a flattening methodology that preserves GHRR's matrix-based encoding while executing training and inference directly in vector space, functionally equivalent to FHRR inference yet free of permutation logic.

William Youngwoo Chung, Hyunwoo Oh, Calvin Yeung et al. · 0 citations
Preprint Aug 2026

Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning

Equilibrium Forcing is introduced, a simplified framework for video denoising generative models without noise level conditioning that pioneers modular training- and inference-time designs for noise-unconditional generation that decouple learning the denoising field from sampling.

H. Lillemark, Alex Rojas, Zachary Novack et al. · 0 citations

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