Dmytro Perekrestenko

According to our database, Dmytro Perekrestenko authored at least 6 papers between 2017 and 2021.

Collaborative distances:

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

2021

Deep Neural Network Approximation Theory.

Dennis Elbrächter, Dmytro Perekrestenko, Philipp Grohs, Helmut Bölcskei

IEEE Trans. Inf. Theory, 2021

High-Dimensional Distribution Generation Through Deep Neural Networks.

Dmytro Perekrestenko, Léandre Eberhard, Helmut Bölcskei

CoRR, 2021

2020

Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks.

Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

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

Dmytro Perekrestenko, Philipp Grohs, Dennis Elbrächter, Helmut Bölcskei

CoRR, 2018

2017

Convolutional Recurrent Neural Networks for Electrocardiogram Classification.

Martin Zihlmann, Dmytro Perekrestenko, Michael Tschannen

Proceedings of the Computing in Cardiology, 2017

Faster Coordinate Descent via Adaptive Importance Sampling.

Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017