3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation
Hannes Waclawek, Stefan Huber
Piecewise Polynomials (PPs) are utilized in several engineering disciplines, like trajectory planning, to approximate position profiles given in the form of a set of points. While…
cs.LG2023★ 3 cited
-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers
Stefan Huber, Hannes Waclawek
In this work we present an "out-of-the-box" application of Machine Learning (ML) optimizers for an industrial optimization problem. We introduce a piecewise polynomial model (splin…