AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work studies nonparametric estimation and forecasting for GARCH-type processes and proposes an iterated neural estimator that alternates between estimating the recursion map and updating the unobserved conditional variances, which is minimax rate-optimal up to logarithmic factors.
In survival analysis the way covariates act on the risk of an event often differs between early and late failure times, yet hazard- and mean-based summaries collapse this variation into a single number. Quantile-based modeling instead describes the full conditional distribution on the original time scale, but existing...
Adaptive Dual-Objective Feature Learning for Multimodal Domain Generalization (ADMMDG), a framework that separates feature learning into two complementary components: features that capture shared patterns with both modality and domain invariance, and modality specific features that preserve the unique characteristics o...
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