1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.NA2021
Approximation properties of Residual Neural Networks for Kolmogorov PDEs
Jonas Baggenstos, Diyora Salimova
In recent years residual neural networks (ResNets) as introduced by [He, K., Zhang, X., Ren, S., and Sun, J., Proceedings of the IEEE conference on computer vision and pattern reco…
math.NA2020
Weak error analysis for stochastic gradient descent optimization algorithms
Aritz Bercher, Lukas Gonon, Arnulf Jentzen +1
Stochastic gradient descent (SGD) type optimization schemes are fundamental ingredients in a large number of machine learning based algorithms. In particular, SGD type optimization…
math.CA2018★ 1 cited
Existence and uniqueness properties for solutions of a class of Banach space valued evolution equations
Arnulf Jentzen, Sara Mazzonetto, Diyora Salimova
In this note we provide a self-contained proof of an existence and uniqueness result for a class of Banach space valued evolution equations with an additive forcing term. The frame…