Learning the parameters of a differential equation from its trajectory via the adjoint equation

17 June 2022

Papers citing "Learning the parameters of a differential equation from its trajectory via the adjoint equation"

5 / 5 papers shown

Title
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 133 628 0 02 Apr 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 373 5,081 0 19 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 108 488 0 12 Apr 2018
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Yiping Lu Aoxiao Zhong Quanzheng Li Bin Dong 199 501 0 27 Oct 2017
Stable Architectures for Deep Neural Networks E. Haber Lars Ruthotto 134 727 0 09 May 2017