Translating Diffusion, Wavelets, and Regularisation into Residual Networks

7 February 2020

Papers citing "Translating Diffusion, Wavelets, and Regularisation into Residual Networks"

8 / 8 papers shown

Title
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 24 53 0 24 Jan 2020
Deep Adaptive Wavelet Network M. Bastidas-Rodríguez Adrien Gruson Luisa F. Polanía S. Fujieda F. Ortíz Kohei Takayama T. Hachisuka FAtt OOD 22 56 0 10 Dec 2019
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising Tobias Alt Joachim Weickert DiffM 13 4 0 21 Oct 2019
Regularization by architecture: A deep prior approach for inverse problems Sören Dittmer T. Kluth Peter Maass Daniel Otero Baguer 40 98 0 10 Dec 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 51 488 0 12 Apr 2018
Deep Relaxation: partial differential equations for optimizing deep neural networks Pratik Chaudhari Adam M. Oberman Stanley Osher Stefano Soatto G. Carlier 103 153 0 17 Apr 2017
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 101 16,311 0 30 Apr 2014
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 46 1,272 0 05 Mar 2012