AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 2 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.
AUINet is introduced, an atomic uncertainty-aware iterative network that quantifies and refines uncertainty at the atomic scale and establishes a new paradigm for trustworthy molecular property prediction.
This work develops the Bayesian Class-Attentive Transformer Network, a unified Bayesian framework that integrates classification-to-regression knowledge fusion, uncertainty quantification, and active learning for data-efficient molecular property prediction and establishes a generalizable paradigm for uncertainty-aware molecular modeling.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.