The universal approximation power of finite-width deep ReLU networks. - Dmytro Perekrestenko; Philipp Grohs; Dennis Elbrächter; Helmut Bölcskei (CoRR, 2018)

How degenerate is the parametrization of neural networks with the ReLU activation function? - Dennis Elbrächter; Julius Berner; Philipp Grohs (NeurIPS, 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; et al. (CoRR, 2019)

Towards a regularity theory for ReLU networks - chain rule and global error estimates. - Julius Berner; Dennis Elbrächter; Philipp Grohs; Arnulf Jentzen (CoRR, 2019)

Deep Neural Network Approximation Theory. - Dennis Elbrächter; Dmytro Perekrestenko; Philipp Grohs; Helmut Bölcskei (IEEE Trans. Inf. Theory, 2021)

Redistributor: Transforming Empirical Data Distributions. - Pavol Harár; Dennis Elbrächter; Monika Dörfler; Kory D. Johnson (CoRR, 2022)