Core Concepts
CoRMF is a novel RNN-based Ising model solver that efficiently probes Ising problems with probabilistic inference.
Stats
CoRMF는 Ising 문제를 효율적으로 탐색하는 RNN 기반의 새로운 방법을 소개합니다.
Quotes
"Our method has two notable characteristics: leveraging the approximated tree structure of the underlying Ising graph and being model-independent yet expressive."
"CoRMF solves Ising problems efficiently with probabilistic inference, demonstrating utility on various datasets."