Order by:
[Title],
[Author],
[Editor],
[Year] 

Barak A. Pearlmutter
Fast Exact Multiplication by the Hessian
Article in
Neural Computation, 1994 
Theory & Techniques: Hessian, Neural Networks


Jeffrey Mark Siskind, Barak A. Pearlmutter
FirstClass Nonstandard Interpretations by Opening Closures
Conference proceeding,
Proceedings of the 2007 Symposium on Principles of Programming Languages, 2007 
Theory & Techniques: Forward Mode, Functional Programming, General


Barak A. Pearlmutter, Jeffrey Mark Siskind
Lazy Multivariate HigherOrder ForwardMode AD
Conference proceeding,
Proceedings of the 2007 Symposium on Principles of Programming Languages, 2007 
Tools: Scheme Theory & Techniques: Forward Mode, Functional Programming, Higher Order, Nesting


Jeffrey Mark Siskind, Barak A. Pearlmutter
Using Polyvariant UnionFree Flow Analysis to Compile a HigherOrder FunctionalProgramming Language with a FirstClass Derivative Operator to Efficient Fortranlike Code
School of Electrical and Computer Engineering, Purdue University, 2008 
Theory & Techniques: Forward Mode, Functional Programming, Higher Order, Nesting


Jeffrey Mark Siskind, Barak A. Pearlmutter
Putting the Automatic Back into AD: Part I, What's Wrong
School of Electrical and Computer Engineering, Purdue University, 2008 
Tools: ADIC, ADIFOR, FADBAD/TADIFF, TAPENADE Theory & Techniques: Forward Mode, Higher Order, Nesting


Jeffrey Mark Siskind, Barak A. Pearlmutter
Nesting ForwardMode AD in a Functional Framework
Article in
HigherOrder and Symbolic Computation, 2008 
Theory & Techniques: Forward Mode, Functional Programming, Implementation Strategies, Nesting


Barak A. Pearlmutter, Jeffrey Mark Siskind
Reversemode AD in a functional framework: Lambda the ultimate back propagator
Article in
ACM Trans. Program. Lang. Syst., ACM,
2008 
Theory & Techniques: Functional Programming


A. G. Baydin, B. A. Pearlmutter
An Analysis of Publication Venues for Automatic Differentiation Research
Article in
ArXiv eprints, 2014 
Theory & Techniques: General


A. G. Baydin, B. A. Pearlmutter
Automatic Differentiation of Algorithms for Machine Learning
Conference proceeding,
Proceedings of the AutoML Workshop at the International Conference on Machine Learning (ICML), Beijing, China, June 2126, 2014, 2014 
Application Area: Computer Vision, Optimization Theory & Techniques: Forward Mode, General, Reverse Mode


A. G. Baydin, B. A. Pearlmutter, A. A. Radul, J. M. Siskind
Automatic differentiation in machine learning: a survey
Article in
arXiv preprint arXiv:1502.05767, 2015 
Tools: DiffSharp


Atilim Gunes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
DiffSharp: Automatic Differentiation Library
arXiv, 2015 
Tools: DiffSharp Theory & Techniques: Implementation Strategies


Jeffrey Mark Siskind, Barak A. Pearlmutter
Binomial Checkpointing for Arbitrary Programs with No User Annotation
2016 
Tools: lambda calculus Theory & Techniques: Checkpointing, Implementation Strategies


Jeffrey Mark Siskind, Barak A. Pearlmutter
Efficient Implementation of a HigherOrder Language with BuiltIn AD
2016 
Theory & Techniques: Implementation Strategies, Performance


Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
DiffSharp: An AD Library for .NET Languages
2016 
Tools: DiffSharp


Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
Tricks from Deep Learning
2016 
Application Area: Machine Learning


Robert Kelly, Barak A. Pearlmutter, Jeffrey Mark Siskind
Evolving the Incremental λ Calculus into a Model of Forward AD
2016 
Tools: lambda calculus Theory & Techniques: Forward Mode, Software Engineering, Tangent


O. Manzyuk, B. A. Pearlmutter, A. A. Radul, D. R. Rush, J. M. Siskind
Perturbation confusion in forward automatic differentiation of higherorder functions
Article in
Journal of Functional Programming, Cambridge University Press,
2019 
Theory & Techniques: Higher Order


Jeffrey Mark Siskind, Barak A. Pearlmutter
Perturbation Confusion and Referential Transparency: Correct Functional Implementation of ForwardMode AD
Conference proceeding,
Implementation and Application of Functional Languages17th International Workshop, IFL'05, 2005 
Tools: Haskell Theory & Techniques: Forward Mode, Functional Programming


Jeffrey Mark Siskind, Barak A. Pearlmutter
Divideandconquer checkpointing for arbitrary programs with no user annotation
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 
Theory & Techniques: Checkpointing


Barak A. Pearlmutter, Jeffrey Mark Siskind
Using Programming Language Theory to Make Automatic Differentiation Sound and Efficient
Advances in Automatic Differentiation, Springer,
2008 
Theory & Techniques: Functional Programming
