CAUCCES is proposed, coupling an adaptive ensemble with a novel Explainable Confidence Index (ECI), suggesting that entropy-based uncertainty quantification can serve as a practical bridge between forecasting and scheduling for resource-constrained utilities, although broader validation across climates and operating co...
MohammadHossein Homaei, Óscar Mogollón-Gutiérrez, Mostafa M. Rezaee et al.· Neural computing & applicati...· 0 citations
Adaptive Gradient-Norm Weighting (AWD), a lightweight scalarization mechanism that dynamically adjusts gradient norms of the classification and alignment losses in UDA consistently improves average performance over fixed and scheduled baselines, with the strongest gains on more difficult transfer settings.
Iman Khazrak, Mohammadhossein Homaei, Mostafa M. Rezaee et al.· International Journal of Dat...· 0 citations
Results show moderate ranks are most efficient: rank 4 achieves the best DDPM FID, rank 8 is close, and higher ranks provide limited gains despite larger adaptation cost, support small-to-moderate ranks as practical defaults under fixed training budgets.
Iman Khazrak, N. Nejad, Mostafa M. Rezaee et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.