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ORCIDThomas Wiatowski
Person information
- affiliation: ETH Zurich, Zürich, Switzerland
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Books and Theses
- 2018
[b1]Thomas Wiatowski:
Harmonic analysis of deep convolutional neural networks. ETH Zurich, Zürich, Switzerland, Hartung-Gorre Verlag 2018, ISBN 978-3-86628-610-8, pp. 1-191
Journal Articles
- 2018
- [j2]Thomas Wiatowski
, Helmut Bölcskei:
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction. IEEE Trans. Inf. Theory 64(3): 1845-1866 (2018) - [j1]Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei:
Energy Propagation in Deep Convolutional Neural Networks. IEEE Trans. Inf. Theory 64(7): 4819-4842 (2018)
Conference and Workshop Papers
- 2017
- [c6]Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini:
Deep structured features for semantic segmentation. EUSIPCO 2017: 61-65 - [c5]Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei:
Energy decay and conservation in deep convolutional neural networks. ISIT 2017: 1356-1360 - 2016
- [c4]Michael Tschannen, Thomas Kramer, Gian Marti, Matthias Heinzmann, Thomas Wiatowski:
Heart Sound Classification Using Deep Structured Features. CinC 2016 - [c3]Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei:
Discrete Deep Feature Extraction: A Theory and New Architectures. ICML 2016: 2149-2158 - [c2]Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei:
Deep convolutional neural networks on cartoon functions. ISIT 2016: 1163-1167 - 2015
- [c1]Thomas Wiatowski, Helmut Bölcskei:
Deep convolutional neural networks based on semi-discrete frames. ISIT 2015: 1212-1216
Informal and Other Publications
- 2017
- [i7]Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei:
Energy Propagation in Deep Convolutional Neural Networks. CoRR abs/1704.03636 (2017) - [i6]Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei:
Topology Reduction in Deep Convolutional Feature Extraction Networks. CoRR abs/1707.02711 (2017) - 2016
- [i5]Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei:
Deep Convolutional Neural Networks on Cartoon Functions. CoRR abs/1605.00031 (2016) - [i4]Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei:
Discrete Deep Feature Extraction: A Theory and New Architectures. CoRR abs/1605.08283 (2016) - [i3]Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini:
Deep Structured Features for Semantic Segmentation. CoRR abs/1609.07916 (2016) - 2015
- [i2]Thomas Wiatowski, Helmut Bölcskei:
Deep Convolutional Neural Networks Based on Semi-Discrete Frames. CoRR abs/1504.05487 (2015) - [i1]Thomas Wiatowski, Helmut Bölcskei:
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction. CoRR abs/1512.06293 (2015)
Coauthor Index
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