Learning across scales - A multiscale method for Convolution Neural Networks

6 March 2017

Papers citing "Learning across scales - A multiscale method for Convolution Neural Networks"

5 / 5 papers shown

Title
A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks Jihun Han Mihai Nica A. Stinchcombe 24 49 0 17 Jan 2020
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 27 484 0 12 Apr 2018
Functional Gradient Boosting based on Residual Network Perception Atsushi Nitanda Taiji Suzuki 25 25 0 25 Feb 2018
Convolutional Neural Networks combined with Runge-Kutta Methods Mai Zhu Bo Chang Chong Fu AI4CE 41 52 0 24 Feb 2018
Reversible Architectures for Arbitrarily Deep Residual Neural Networks B. Chang Lili Meng E. Haber Lars Ruthotto David Begert E. Holtham AI4CE 30 261 0 12 Sep 2017