Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods

31 August 2021

Papers citing "Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods"

4 / 4 papers shown

Title
Nonlinear Approximation and (Deep) ReLU Networks Ingrid Daubechies Ronald A. DeVore S. Foucart Boris Hanin G. Petrova 33 139 0 05 May 2019
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 59 488 0 12 Apr 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 415 10,281 0 16 Nov 2016
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 165 16,311 0 30 Apr 2014