Deep Convolutional Neural Networks on Cartoon Functions

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Deep Convolutional Neural Networks on Cartoon Functions

29 April 2016

Thomas Wiatowski

Helmut Bölcskei

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Papers citing "Deep Convolutional Neural Networks on Cartoon Functions"

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Title
Energy Propagation in Scattering Convolution Networks Can Be Arbitrarily Slow Hartmut Führ Max Getter 82 2 0 07 Jun 2024
Manifold Filter-Combine Networks Joyce A. Chew E. Brouwer Smita Krishnaswamy Deanna Needell Michael Perlmutter Michael Perlmutter GNN 93 0 0 08 Jul 2023
Modulation spectral features for speech emotion recognition using deep neural networks Premjeet Singh Md. Sahidullah G. Saha 57 49 0 14 Jan 2023
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 230 19 0 17 Aug 2022
Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data Ben Adcock Simone Brugiapaglia N. Dexter S. Moraga 114 29 0 11 Dec 2020
The gap between theory and practice in function approximation with deep neural networks Ben Adcock N. Dexter 73 95 0 16 Jan 2020
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds Michael Perlmutter Feng Gao Guy Wolf M. Hirn 70 14 0 24 May 2019
Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design? M. Dörfler Thomas Grill Roswitha Bammer A. Flexer 48 7 0 07 Sep 2017
Discrete Deep Feature Extraction: A Theory and New Architectures Thomas Wiatowski Michael Tschannen Aleksandar Stanić Philipp Grohs Helmut Bölcskei FAtt 73 25 0 26 May 2016
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction Thomas Wiatowski Helmut Bölcskei FAtt 90 366 0 19 Dec 2015