Faster Coordinate Descent via Adaptive Importance Sampling. - Dmytro Perekrestenko; Volkan Cevher; Martin Jaggi (AISTATS, 2017)

Convolutional Recurrent Neural Networks for Electrocardiogram Classification. - Martin Zihlmann; Dmytro Perekrestenko; Michael Tschannen (CinC, 2017)

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

Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks. - Dmytro Perekrestenko; Stephan Müller; Helmut Bölcskei (ICML, 2020)

High-Dimensional Distribution Generation Through Deep Neural Networks. - Dmytro Perekrestenko; Léandre Eberhard; Helmut Bölcskei (CoRR, 2021)

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