AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 53 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.
LatentDiff is proposed, a novel unified latent generative framework for TSP, which reformulates knowledge graph completion as latent space graph generation and introduces an observation-anchored latent graph diffusion model.
Discrete Diffusion Models (DDMs) have recently been introduced to recommendation systems, modeling user history as a token generation process via iterative denoising. However, while effective at capturing user-level sequential patterns, these methods often fail to explicitly integrate item-based collaborative filtering...
Results indicate that discrete, anchor-constrained latent modeling provides a powerful and biologically coherent solution for unpaired single-cell multi-omics integration, and scCoA-VQA can accurately capture the meaningful regulatory structure.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.