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.
We study randomized stopping times for a Markov process, described by a progressively measurable intensity $\alpha_t(\omega)$. We prove that every admissible intensity has a Markovian representative $\lambda(t,X_t)$, explicitly obtained from the observed measure and the surviving occupation measure. This representative...
This paper proposes a neural method for solving the simultaneous OT problem by learning a shared transport map that minimizes the average transport cost while aligning each source distribution with a prescribed target, and derives a max-min formulation for learning this map.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.