Non-convergence to global minimizers in data driven supervised deep learning: Adam and stochastic gradient descent optimization provably fail to converge to global minimizers in the training of deep neural networks with ReLU activation. - Sonja Hannibal; Arnulf Jentzen; Do Minh Thang (CoRR, 2024)