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Differentiable programming is a new programming paradigm which enables large scale optimization through automatic calculation of gradients also known as auto-differentiation.
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M. Hauru, M. V. Damme, and J. Haegeman, Riemannian optimization of isometric tensor networks, SciPost Phys. 10
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2021
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