Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Session Overview
Session
YRM4: Mathematical theory of deep learning
Time:
Monday, 18/Feb/2019:
4:30pm - 6:30pm

Session Chair: Rafael Reisenhofer
Session Chair: Philipp Petersen
Location: HS 41

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Presentations
4:30pm - 4:50pm

Deep convolutional networks from sparse coding principles

J. Sulam1, A. Aberdam2, M. Elad2

1Johns Hopkins University, USA; 2Technion, Israel Institute of Technology, Israel



4:50pm - 5:10pm

Optimal approximation for Wilson bases with ReLU neural networks

D. Perekrestenko

ETH Zurich, Switzerland



5:10pm - 5:30pm

Approximation spaces of deep neural networks

F. Voigtlaender

Catholic University of Eichstätt-Ingolstadt, Germany



5:30pm - 5:50pm

Deep learning for inverse problems. Where are we, and how far can we go?

J. Adler1,2, O. Öktem1

1KTH, Sweden; 2Elekta,Sweden



5:50pm - 6:10pm

Gabor frames and deep scattering networks in audio processing

R. Bammer, M. Dörfler

University of Vienna, Austria



6:10pm - 6:30pm

Invertible neural networks

J. Behrmann

University Bremen, Germany



 
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