Dennis Elbrächter

According to our database, Dennis Elbrächter authored at least 6 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Redistributor: Transforming Empirical Data Distributions.

Pavol Harár, Dennis Elbrächter, Monika Dörfler, Kory D. Johnson

CoRR, 2022

2021

Deep Neural Network Approximation Theory.

Dennis Elbrächter, Dmytro Perekrestenko, Philipp Grohs, Helmut Bölcskei

IEEE Trans. Inf. Theory, 2021

2019

Towards a regularity theory for ReLU networks - chain rule and global error estimates.

Julius Berner, Dennis Elbrächter, Philipp Grohs, Arnulf Jentzen

CoRR, 2019

The Oracle of DLphi.

Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber

CoRR, 2019

How degenerate is the parametrization of neural networks with the ReLU activation function?

Dennis Elbrächter, Julius Berner, Philipp Grohs

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The universal approximation power of finite-width deep ReLU networks.

Dmytro Perekrestenko, Philipp Grohs, Dennis Elbrächter, Helmut Bölcskei

CoRR, 2018