ReMAP performs instance-specific optimization of MRF MAP inference by using a GNN to generate label distributions and gradient descent in an over-parameterized continuous space to find low-energy discrete solutions.
Transportation data visualization with a focus on freight: a literature review.Transportation Planning and Technology, 45(4):358– 401, 2022
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ReMAP: Neural Reparameterization for Scalable MAP Inference in Arbitrary-Order Markov Random Fields
ReMAP performs instance-specific optimization of MRF MAP inference by using a GNN to generate label distributions and gradient descent in an over-parameterized continuous space to find low-energy discrete solutions.