A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning
type: Item
instance of: scholarly article
title: A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning
zbMATH Open document ID: 1453.65050
DOI: 10.1080/10556788.2018.1435651
author: Filip Srajer
author: Zuzana Kukelova
author: Andrew W. Fitzgibbon
publication date: 2018-10-09T00:00:00Z
full work available at URL: https://arxiv.org/abs/1807.10129
Mathematics Subject Classification ID: 65D25
Mathematics Subject Classification ID: 65D19
Mathematics Subject Classification ID: 65Y99
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6949114
zbMATH Keywords: automatic differentiation
zbMATH Keywords: benchmark
zbMATH Keywords: machine learning
zbMATH Keywords: computer vision
describes a project that uses: ADOL-C
describes a project that uses: ADIC
describes a project that uses: Theano
describes a project that uses: TAPENADE
describes a project that uses: ColPack
describes a project that uses: ADiGator
describes a project that uses: Autograd
describes a project that uses: Matlab
describes a project that uses: Symbolic Math Toolbox
describes a project that uses: ADIC2
describes a project that uses: Ceres Solver
describes a project that uses: MuPAD
describes a project that uses: MonoSLAM
describes a project that uses: clad
describes a project that uses: F#
describes a project that uses: Eigen
MaRDI profile type: Publication
OpenAlex ID: W2793476006
arXiv ID: 1807.10129
cites work: Comparison of automatic and symbolic differentiation in mathematical modeling and computer simulation of rigid body systems
cites work: ColPack
cites work: Evaluating Derivatives
cites work: Multiple View Geometry in Computer Vision
cites work: The Tapenade automatic differentiation tool
cites work: Fast Reverse-Mode Automatic Differentiation using Expression Templates in C++
cites work: An efficient overloaded method for computing derivatives of mathematical functions in MATLAB
published in: Optimization Methods \& Software
description: scientific article; zbMATH DE number 6949114