Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality Grohs P, Ibragimov S, Jentzen A, Koppensteiner S (2023) In: Journal of Complexity, 0, 101746. doi:10.1016/j.jco.2023.101746 Research article (journal) \| Peer reviewed \| accepted / in press (not yet published)
On the existence of infinitely many realization functions of non-global local minima in the training of artificial neural networks with ReLU activation Ibragimov, Shokhrukh; Jentzen, Arnulf; Kröger, Timo; Riekert, Adrian (2022) In: ArXiv:2202.11481. Research article in digital collection \| Preprint \| submitted / under review
Convergence to good non-optimal critical points in the training of neural networks: Gradient descent optimization with one random initialization overcomes all bad non-global local minima with high probability Ibragimov, S.; Jentzen, A.; Riekert, A. (2022) In: arXiv.org:2212.13111. Research article in digital collection \| Preprint \| submitted / under review