AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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PhenoAIR is proposed, a reliability-aware multi-agent framework that maintains a candidate-centric evidence memory and performs controller-guided refinement over phenotype- and mechanism-side evidence and outperforms representation-matching and LLM-based baselines across all settings.
This paper develops theoretical bounds on the unfairness and expected loss at deployment, and derives sufficient conditions under which fairness and accuracy can be perfectly transferred via invariant representation learning, and designs a learning algorithm such that fair ML models learned with training data still hav...
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