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Found 2 papers, 1 papers with code
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation
We show that, using this regularization approach, Chebyshev basis performs better than power basis for all relevant optimizers in the combined approximation and continuity optimization setting and demonstrate usability of the presented approach within the electronic cam domain.
$\mathcal{C}^k$-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers
Our experiments show that the problem solution is feasible using TensorFlow gradient tapes and that AMSGrad and SGD show the best results among available TensorFlow optimizers.
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