AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes Diffusion Online-guidance Fine-tuning (DOHF), which turns Doob's $h-transform into a practical online training algorithm and demonstrates how adapting probabilistic conditioning through inexpensive estimation and iterative distillation can improve generative learning across statistical sampling and v...
A continuous-time RL framework for fine-tuning score-based discrete diffusion models, which enables reward-driven optimization without requiring differentiability on the reward signals, is developed.
Spec2Twin-Chain is considered, a framework that formulates blockchain digital-twin construction as a bi-level optimization problem and can construct behaviorally accurate twins, improve initial designs through iterative feedback, and reuse calibrated twins to support downstream decisions.
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