As AI infrastructure fragments into specialized tiers, CPUs are becoming the orchestration layer for agentic workloads.

Abstract: In this paper we show how to formulate and solve disturbance decoupling problems over networks while choosing a minimal number of input and output nodes. Feedback laws that isolate and ...

Abstract: Node classification is a fundamental task in hypergraph learning. Existing methods generally assume that there are a few labeled nodes given in advance. However, in a newly formed hypergraph ...