Optimal Approximation with Sparsely Connected Deep Neural Networks

4 May 2017

Papers citing "Optimal Approximation with Sparsely Connected Deep Neural Networks"

7 / 57 papers shown

Title
NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation Anastasis Kratsios Cody B. Hyndman OOD 28 17 0 31 Aug 2018
The universal approximation power of finite-width deep ReLU networks Dmytro Perekrestenko Philipp Grohs Dennis Elbrächter Helmut Bölcskei 18 36 0 05 Jun 2018
Solving the Kolmogorov PDE by means of deep learning C. Beck S. Becker Philipp Grohs Nor Jaafari Arnulf Jentzen 19 91 0 01 Jun 2018
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks Yingzhou Li Xiuyuan Cheng Jianfeng Lu 21 23 0 18 May 2018
Deep Neural Networks Learn Non-Smooth Functions Effectively Masaaki Imaizumi Kenji Fukumizu 20 123 0 13 Feb 2018
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks Mahdi Soltanolkotabi Adel Javanmard J. Lee 36 415 0 16 Jul 2017
On the stable recovery of deep structured linear networks under sparsity constraints F. Malgouyres 22 7 0 31 May 2017