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ReMAP framework offers scalable MAP inference for arbitrary-order MRFs

Researchers have developed ReMAP, a novel framework for scalable Markov Random Field (MRF) inference. This method utilizes a Graph Neural Network to optimize a differentiable relaxation of the MRF energy, enabling gradi…