AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
3 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.
Wide tables offer tabular foundation models more evidence, but accessing it can exhaust their memory: full-width pairwise mixing grows quadratically with the number of columns, while feature selection makes inputs affordable by discarding evidence. We ask whether using more features requires interacting over all of the...
Transferable evidence reconstruction (TER) is introduced: a Ridge regressor fits evidence from representations in one group and predicts it in an identity-disjoint group without refitting, and uses meaningful signal properties to supervise not only what a representation preserves, but how reliably it can be read across...
In-situ representation refinement is developed: support labels guide changes to the episode's representations, improving the information available to later queries, in a competitive, memory-efficient model.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.