ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs

27 February 2019

Papers citing "ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs"

13 / 13 papers shown

Title
Efficient, Accurate and Stable Gradients for Neural ODEs Sam McCallum James Foster 75 5 0 15 Oct 2024
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,111 0 19 Jun 2018
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations Marco Ciccone Marco Gallieri Jonathan Masci Christian Osendorfer Faustino J. Gomez 64 57 0 19 Apr 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 124 490 0 12 Apr 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 45 299 0 23 Mar 2018
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Yiping Lu Aoxiao Zhong Quanzheng Li Bin Dong 210 504 0 27 Oct 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks B. Chang Lili Meng E. Haber Lars Ruthotto David Begert E. Holtham AI4CE 81 264 0 12 Sep 2017
The Reversible Residual Network: Backpropagation Without Storing Activations Aidan Gomez Mengye Ren R. Urtasun Roger C. Grosse 74 550 0 14 Jul 2017
Stable Architectures for Deep Neural Networks E. Haber Lars Ruthotto 145 729 0 09 May 2017
Memory-Efficient Backpropagation Through Time A. Gruslys Rémi Munos Ivo Danihelka Marc Lanctot Alex Graves 63 229 0 10 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 266 78 0 26 May 2016
Training Deep Nets with Sublinear Memory Cost Tianqi Chen Bing Xu Chiyuan Zhang Carlos Guestrin 100 1,167 0 21 Apr 2016
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 123 2,261 0 30 Oct 2014