Jentzen, Arnulf

4 publications

NeurIPS 2025 SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via O-Minimal Structures Julian Kranz, Davide Gallon, Steffen Dereich, Arnulf Jentzen

JMLR 2022 A Proof of Convergence for the Gradient Descent Optimization Method with Random Initializations in the Training of Neural Networks with ReLU Activation for Piecewise Linear Target Functions Arnulf Jentzen, Adrian Riekert

JMLR 2020 Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions Benjamin Fehrman, Benjamin Gess, Arnulf Jentzen

JMLR 2019 Deep Optimal Stopping Sebastian Becker, Patrick Cheridito, Arnulf Jentzen