AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 36 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.
AnchorWeave is introduced, a memory-augmented video generation framework that replaces a single misaligned global memory with multiple clean local geometric memories and learns to reconcile their cross-view inconsistencies.
V-Co, a systematic study of visual co-denoising in a unified JiT-based framework, outperforms the underlying pixel-space diffusion baseline and strong prior pixel-diffusion methods while using fewer training epochs, offering practical guidance for future representation-aligned generative models.
VideoTreeSearch (VTS) is proposed, a framework that casts grounded LVQA as iterative self-correcting search over an adaptive temporal tree, and trains an agent to navigate the tree through four discrete operations: zoom_in, zoom_out, shift, and answer.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.