Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection

26 July 2020

Papers citing "Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection"

4 / 4 papers shown

Title
Online Learning Under A Separable Stochastic Approximation Framework Min Gan Xiang-Xiang Su Guang-yong Chen Jing Chen 28 0 0 12 May 2023
Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks S. Dong Jielin Yang 40 17 0 24 Jan 2022
slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks Elizabeth Newman Julianne Chung Matthias Chung Lars Ruthotto 47 6 0 28 Sep 2021
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks B. Afkham Julianne Chung Matthias Chung 17 42 0 14 Apr 2021