A Shooting Formulation of Deep Learning

18 June 2020

Papers citing "A Shooting Formulation of Deep Learning"

8 / 8 papers shown

Title
Dissecting Neural ODEs Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama 65 200 0 19 Feb 2020
The Barron Space and the Flow-induced Function Spaces for Neural Network Models E. Weinan Chao Ma Lei Wu 56 110 0 18 Jun 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 80 622 0 02 Apr 2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs A. Gholami Kurt Keutzer George Biros 68 167 0 27 Feb 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 225 5,024 0 19 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 59 488 0 12 Apr 2018
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 130 952 0 01 Mar 2017
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 279 10,149 0 16 Mar 2016