A convex physics-informed neural network with a Hausdorff-distance boundary loss approximates optimal transport maps in two and three dimensions.
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Convex Physics Informed Neural Networks for the Monge-Amp\`ere Optimal Transport Problem
A convex physics-informed neural network with a Hausdorff-distance boundary loss approximates optimal transport maps in two and three dimensions.