Thomas Wiatowski

According to our database, Thomas Wiatowski authored at least 10 papers between 2015 and 2018.

Collaborative distances:

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

2018

Harmonic analysis of deep convolutional neural networks.

Thomas Wiatowski

PhD thesis, 2018

Energy Propagation in Deep Convolutional Neural Networks.

Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei

IEEE Trans. Inf. Theory, 2018

A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction.

Thomas Wiatowski, Helmut Bölcskei

IEEE Trans. Inf. Theory, 2018

2017

Topology Reduction in Deep Convolutional Feature Extraction Networks.

Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei

CoRR, 2017

Energy decay and conservation in deep convolutional neural networks.

Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Deep structured features for semantic segmentation.

Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Deep convolutional neural networks on cartoon functions.

Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei

Proceedings of the IEEE International Symposium on Information Theory, 2016

Discrete Deep Feature Extraction: A Theory and New Architectures.

Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei

Proceedings of the 33nd International Conference on Machine Learning, 2016

Heart Sound Classification Using Deep Structured Features.

Michael Tschannen, Thomas Kramer, Gian Marti, Matthias Heinzmann, Thomas Wiatowski

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Deep convolutional neural networks based on semi-discrete frames.

Thomas Wiatowski, Helmut Bölcskei

Proceedings of the IEEE International Symposium on Information Theory, 2015