OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
On the Existence of Global Minima and Convergence Analyses for Gradient Descent Methods in the Training of Deep Neural Networks
Arnulf Jentzen, Adrian Riekert
Journal of Machine Learning (2022) Vol. 1, Iss. 2, pp. 141-246
Open Access | Times Cited: 6
Arnulf Jentzen, Adrian Riekert
Journal of Machine Learning (2022) Vol. 1, Iss. 2, pp. 141-246
Open Access | Times Cited: 6
Showing 6 citing articles:
On the Existence of Optimal Shallow Feedforward Networks with ReLU Activation
Steffen Dereich null, Sebastian Kassing
Journal of Machine Learning (2024) Vol. 3, Iss. 1, pp. 1-22
Open Access | Times Cited: 3
Steffen Dereich null, Sebastian Kassing
Journal of Machine Learning (2024) Vol. 3, Iss. 1, pp. 1-22
Open Access | Times Cited: 3
On the Existence of Minimizers in Shallow Residual ReLU Neural Network Optimization Landscapes
Steffen Dereich, Arnulf Jentzen, Sebastian Kassing
SIAM Journal on Numerical Analysis (2024) Vol. 62, Iss. 6, pp. 2640-2666
Open Access | Times Cited: 2
Steffen Dereich, Arnulf Jentzen, Sebastian Kassing
SIAM Journal on Numerical Analysis (2024) Vol. 62, Iss. 6, pp. 2640-2666
Open Access | Times Cited: 2
How many neurons do we need? A refined analysis for shallow networks trained with gradient descent
Mike Nguyen, Nicole Mücke
Journal of Statistical Planning and Inference (2024) Vol. 233, pp. 106169-106169
Open Access | Times Cited: 1
Mike Nguyen, Nicole Mücke
Journal of Statistical Planning and Inference (2024) Vol. 233, pp. 106169-106169
Open Access | Times Cited: 1
Convergence of Stochastic Gradient Descent Schemes for Łojasiewicz-Landscapes
Steffen Dereich null, Sebastian Kassing
Journal of Machine Learning (2024) Vol. 3, Iss. 3, pp. 245-281
Closed Access | Times Cited: 1
Steffen Dereich null, Sebastian Kassing
Journal of Machine Learning (2024) Vol. 3, Iss. 3, pp. 245-281
Closed Access | Times Cited: 1
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Steffen Dereich, Sebastian Kassing
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
Steffen Dereich, Sebastian Kassing
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
On the existence of optimal shallow feedforward networks with ReLU activation
Steffen Dereich, Sebastian Kassing
arXiv (Cornell University) (2023)
Open Access
Steffen Dereich, Sebastian Kassing
arXiv (Cornell University) (2023)
Open Access
