Thomas Wiatowski

A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

Thomas Wiatowski, Helmut Bölcskei, H. Bölcskei, 2015, IEEE Transactions on Information Theory.

Energy decay and conservation in deep convolutional neural networks

Helmut Bölcskei, Philipp Grohs, Thomas Wiatowski, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

Deep convolutional neural networks based on semi-discrete frames

Helmut Bölcskei, Thomas Wiatowski, H. Bölcskei, 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

Energy Propagation in Deep Convolutional Neural Networks

Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei, 2017, IEEE Transactions on Information Theory.

Heart sound classification using deep structured features

Gian Marti, Michael Tschannen, Thomas Wiatowski, 2016, 2016 Computing in Cardiology Conference (CinC).

Deep convolutional neural networks on cartoon functions

Helmut Bölcskei, Philipp Grohs, Thomas Wiatowski, 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

Deep structured features for semantic segmentation

Luca Benini, Michael Tschannen, Lukas Cavigelli, 2016, 2017 25th European Signal Processing Conference (EUSIPCO).