AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
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.
This work proposes a modified version of a Chinchilla-style scaling law that explicitly accounts for two factors: the number of unique samples and repetition per sample, which provides a framework for understanding data-compute trade-offs and improves prediction in some regimes where repetition plays a central role.
GeoCrossBench is introduced, an extension of the popular GeoBench benchmark with a new evaluation protocol for cross-band generalization across sensors and satellites, and $\chi$ViT, a self-supervised extension of the band-agnostic ChannelViT, is developed as a supporting baseline for cross-band generalization.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.