A Geometric Theory of Higher-Order Automatic Differentiation

30 December 2018

Papers citing "A Geometric Theory of Higher-Order Automatic Differentiation"

7 / 7 papers shown

Title
Efficient Automatic Differentiation of Implicit Functions C. Margossian M. Betancourt 58 2 0 28 Dec 2021
Second-order Neural Network Training Using Complex-step Directional Derivative Siyuan Shen Tianjia Shao Kun Zhou Chenfanfu Jiang Feng Luo Yin Yang ODL 27 2 0 15 Sep 2020
A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation Carol Mak C.-H. Luke Ong 104 10 0 19 Feb 2020
Ensembles of Locally Independent Prediction Models A. Ross Weiwei Pan Leo Anthony Celi Finale Doshi-Velez 105 32 0 04 Nov 2019
DeepXDE: A deep learning library for solving differential equations Lu Lu Xuhui Meng Zhiping Mao George Karniadakis PINN AI4CE 161 1,555 0 10 Jul 2019
Differentiable Visual Computing Tzu-Mao Li 54 15 0 27 Apr 2019
A Review of automatic differentiation and its efficient implementation C. Margossian 99 323 0 12 Nov 2018