Q4558473
type: Item
instance of: scholarly article
author: Atılım Güneş Baydin
author: Barak A. Pearlmutter
author: Alexey Andreyevich Radul
author: Jeffrey Mark Siskind
publication date: 2018-11-22T00:00:00Z
full work available at URL: https://arxiv.org/abs/1502.05767
full work available at URL: 17-468.html
Mathematics Subject Classification ID: 65D25
zbMATH DE Number: 6982909
zbMATH Keywords: backpropagation
zbMATH Keywords: differentiable programming
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cites work: Q4637040
cites work: Computational Graphs and Rounding Error
cites work: Q3528771
cites work: The differential quadrature method for irregular domains and application to plate vibration
cites work: Q4459813
cites work: On the implementation of automatic differentiation tools
cites work: Q3272661
cites work: Large-Scale Machine Learning with Stochastic Gradient Descent
cites work: Optimization Methods for Large-Scale Machine Learning
cites work: Q4762624
cites work: Extrapolation methods theory and practice
cites work: A Steepest-Ascent Method for Solving Optimum Programming Problems
cites work: Likelihood Ratio Method and Algorithmic Differentiation: Fast Second Order Greeks
cites work: Efficient adjoint derivatives: application to the meteorological model meso-nh
cites work: A Leibniz Notation for Automatic Differentiation
cites work: Q3809110
cites work: The Data-Flow Equations of Checkpointing in Reverse Automatic Differentiation
cites work: Q4868581
cites work: Q4028389
cites work: Q5396673
cites work: Regularization tools for training large feed-forward neural networks using automatic differentiation∗
cites work: Numerical Differentiation of Analytic Functions
cites work: An efficient overloaded implementation of forward mode automatic differentiation in MATLAB
cites work: A Modeling Language for Mathematical Programming
cites work: Efficient computation of sparse hessians using coloring and automatic differentiation
cites work: ColPack
cites work: Recipes for adjoint code construction
cites work: Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
cites work: A Primer on Neural Network Models for Natural Language Processing
cites work: Q5270493
cites work: Q4781238
cites work: Q3528794
cites work: Q3474197
cites work: A mathematical view of automatic differentiation
cites work: Who invented the reverse mode of differentiation?
cites work: Evaluating Derivatives
cites work: On the numerical stability of algorithmic differentiation
cites work: The Tapenade automatic differentiation tool
cites work: The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
cites work: Understanding image intensities
cites work: Automatic differentiation and interval arithmetic for estimation of disequilibrium models
cites work: Q5287559
cites work: Q4028413
cites work: Q5361277
cites work: Taylor expansion of the accumulated rounding error
cites work: Q5628775
cites work: Q4028408
cites work: Stochastic volatility: Bayesian computation using automatic differentiation and the extended Kalman filter
cites work: On the performance of discrete adjoint CFD codes using automatic differentiation
cites work: Optimal accumulation of Jacobian matrices by elimination methods on the dual computational graph
cites work: Q2844230
cites work: Nesting forward-mode AD in a functional framework
cites work: Q3592129
cites work: Q2844213
cites work: Q3394879
cites work: Automatic differentiation in MATLAB
cites work: Learning representations by back-propagating errors
cites work: Q4949347
cites work: Q4706739
cites work: The anatomy of a loop
cites work: Q3528772
cites work: Lazy multivariate higher-order forward-mode AD
cites work: Divide-and-conquer checkpointing for arbitrary programs with no user annotation
cites work: ADiJaC -- Automatic Differentiation of Java Classfiles
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