A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions

19 February 2021

Papers citing "A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions"

5 / 5 papers shown

Title
Physics Informed Constrained Learning of Dynamics from Static Data Pengtao Dang Tingbo Guo Melissa Fishel Guang Lin Wenzhuo Wu Sha Cao Chi Zhang PINN AI4CE 49 0 0 17 Apr 2025
Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks Arnulf Jentzen Adrian Riekert 15 4 0 07 Feb 2024
Normalized gradient flow optimization in the training of ReLU artificial neural networks Simon Eberle Arnulf Jentzen Adrian Riekert G. Weiss 16 0 0 13 Jul 2022
Convergence proof for stochastic gradient descent in the training of deep neural networks with ReLU activation for constant target functions Martin Hutzenthaler Arnulf Jentzen Katharina Pohl Adrian Riekert Luca Scarpa MLT 19 6 0 13 Dec 2021
Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation Arnulf Jentzen Adrian Riekert 11 23 0 09 Jul 2021