LOOP-PE uses a permutation-equivariant neural network plus a gauge-map feasibility layer to produce feasible, near-optimal dispatch decisions for variable-size sensor networks.
Learning to solve optimization problems with hard linear constraints
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Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems
LOOP-PE uses a permutation-equivariant neural network plus a gauge-map feasibility layer to produce feasible, near-optimal dispatch decisions for variable-size sensor networks.