4 citations · 4 across the 2 of their papers we have counts for
2 papers
math.OC2024
Computation of Generalized Derivatives for Abs-Smooth Functions by Backward Mode Algorithmic Differentiation and Implications to Deep Learning
Lukas Baumgärtner, Franz Bethke
Algorithmic differentiation (AD) tools allow to obtain gradient information of a continuously differentiable objective function in a computationally cheap way using the so-called b…
math.DS2024★ 4 cited
A Multi-Parameter Singular Perturbation Analysis of the Robertson Model
Lukas Baumgartner, Peter Szmolyan
The Robertson model describing a chemical reaction involving three reactants is one of the classical examples of stiffness in ODEs. The stiffness is caused by the occurrence of thr…