SafePowerGraph: A safety-aware benchmarking framework for scalable graph neural networks in power flow and optimal power flow
Aoxiang Ma, Salah Ghamizi, Aleksandar Bojchevski et al.
· Energy and AI · 0 citations
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 54 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
RG-OPD bridges sparse verifier rewards and dense teacher logits, preserving token-level supervision while filtering misleading teacher signals, and produces stronger distilled students, outperforming both vanilla reverse-KL distillation and the recent TSD-KD baseline.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.