CITATION.cff

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cff-version: 1.2.0
title: DifferentiationInterface.jl
message: >-
  If you use this software, please cite it using the
  metadata from this file, and also cite the AbstractDifferentiation.jl software.
type: software
authors:
  - given-names: Guillaume
    family-names: Dalle
    email: guillaume.dalle@enpc.fr
    affiliation: >-
      LVMT, ENPC, Institut Polytechnique de Paris, Univ
      Gustave Eiffel, Marne-la-Vallée, France
    orcid: 'https://orcid.org/0000-0003-4866-1687'
  - given-names: Adrian
    family-names: Hill
    email: hill@tu-berlin.de
    affiliation: 'Machine Learning Group, BIFOLD, TU Berlin'
    orcid: 'https://orcid.org/0009-0009-5977-301X'
identifiers:
  - type: doi
    value: 10.5281/zenodo.11092033
    description: Zenodo DOI
repository-code: 'https://github.com/JuliaDiff/DifferentiationInterface.jl'
abstract: >-
  An interface to various automatic differentiation backends
  in Julia.
keywords:
  - automatic differentiation
  - julia
license: MIT
references:
  - title: >-
      AbstractDifferentiation.jl: Backend-Agnostic
      Differentiable Programming in Julia
    type: software
    authors:
      - given-names: Frank
        family-names: Schäfer
        orcid: 'https://orcid.org/0000-0003-2684-4984'
      - given-names: Mohamed
        family-names: Tarek
        orcid: 'https://orcid.org/0000-0003-3074-0678'
      - given-names: Lyndon
        family-names: White
        orcid: 'https://orcid.org/0000-0003-1386-1646'
      - given-names: Chris
        family-names: Rackauckas
        orcid: 'https://orcid.org/0000-0001-5850-0663'
    identifiers:
      - type: other
        value: 'https://arxiv.org/abs/2109.12449'
        description: Arxiv
    repository-code: 'https://github.com/JuliaDiff/AbstractDifferentiation.jl'
    abstract: An abstract interface for automatic differentiation.
    license: MIT
preferred-citation:
  type: generic
  authors:
  - family-names: "Hill"
    given-names: "Adrian"
    orcid: "https://orcid.org/0009-0009-5977-301X"
  - family-names: "Dalle"
    given-names: "Guillaume"
    orcid: "https://orcid.org/0000-0003-4866-1687"
  title: "Sparser, Better, Faster, Stronger: Efficient Automatic Differentiation for Sparse Jacobians and Hessians"
  year: 2025
  eprint: "2501.17737"
  archivePrefix: "arXiv"
  primaryClass: "cs.LG"
  url: "https://arxiv.org/abs/2501.17737"
  doi: "10.48550/arXiv.2501.17737"