Thomas Wiatowski

ORCID

Publication Activity (10 Years)

Years Active: 2015-2018
Publications (10 Years): 15

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

ICML

ETH Zurich, Zürich, Switzerland (PHD)

Education History

ETH Zurich, Zürich, Switzerland

PHD

Publications

Thomas Wiatowski, Helmut Bölcskei
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction. IEEE Trans. Inf. Theory 64 (3) (2018)
Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei
Energy Propagation in Deep Convolutional Neural Networks. IEEE Trans. Inf. Theory 64 (7) (2018)
Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei
Energy Propagation in Deep Convolutional Neural Networks. CoRR (2017)
Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei
Energy decay and conservation in deep convolutional neural networks. ISIT (2017)
Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
Deep structured features for semantic segmentation. EUSIPCO (2017)
Thomas Wiatowski, Philipp Grohs, Helmut Bölcskei
Topology Reduction in Deep Convolutional Feature Extraction Networks. CoRR (2017)
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei
Discrete Deep Feature Extraction: A Theory and New Architectures. ICML (2016)
Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
Deep Structured Features for Semantic Segmentation. CoRR (2016)
Michael Tschannen, Thomas Kramer, Gian Marti, Matthias Heinzmann, Thomas Wiatowski
Heart Sound Classification Using Deep Structured Features. CinC (2016)
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei
Discrete Deep Feature Extraction: A Theory and New Architectures. CoRR (2016)
Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei
Deep Convolutional Neural Networks on Cartoon Functions. CoRR (2016)
Philipp Grohs, Thomas Wiatowski, Helmut Bölcskei
Deep convolutional neural networks on cartoon functions. ISIT (2016)
Thomas Wiatowski, Helmut Bölcskei
Deep Convolutional Neural Networks Based on Semi-Discrete Frames. CoRR (2015)
Thomas Wiatowski, Helmut Bölcskei
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction. CoRR (2015)
Thomas Wiatowski, Helmut Bölcskei
Deep convolutional neural networks based on semi-discrete frames. ISIT (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas Wiatowski