Dmytro Perekrestenko

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 10

Top Topics

Approximation Error

Markov Chain Monte Carlo

Long Short Term Memory

Top Venues

IEEE Trans. Inf. Theory

Publications

Dmytro Perekrestenko, Léandre Eberhard, Helmut Bölcskei
High-Dimensional Distribution Generation Through Deep Neural Networks. CoRR (2021)
Dennis Elbrächter, Dmytro Perekrestenko, Philipp Grohs, Helmut Bölcskei
Deep Neural Network Approximation Theory. IEEE Trans. Inf. Theory 67 (5) (2021)
Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks. CoRR (2020)
Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks. ICML (2020)
Philipp Grohs, Dmytro Perekrestenko, Dennis Elbrächter, Helmut Bölcskei
Deep Neural Network Approximation Theory. CoRR (2019)
Dmytro Perekrestenko, Philipp Grohs, Dennis Elbrächter, Helmut Bölcskei
The universal approximation power of finite-width deep ReLU networks. CoRR (2018)
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
Faster Coordinate Descent via Adaptive Importance Sampling. AISTATS (2017)
Martin Zihlmann, Dmytro Perekrestenko, Michael Tschannen
Convolutional Recurrent Neural Networks for Electrocardiogram Classification. CoRR (2017)
Martin Zihlmann, Dmytro Perekrestenko, Michael Tschannen
Convolutional Recurrent Neural Networks for Electrocardiogram Classification. CinC (2017)
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
Faster Coordinate Descent via Adaptive Importance Sampling. CoRR (2017)