SoftwareApplication
name: Software and data underlying the publication: Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
description: Software and data underlying the publication: Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
description: Code and research results for our AAAI 2024 paper "Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals". The research results include the complete outcomes of the main experiments presented in the paper for all datasets. For each dataset, the results include a file ending in "_bmk.csv" which includes the estimated counterfactual evaluation metrics for individuals samples grouped by generator, models and evaluation metrics. Files ending in ".jls" are the corresponding serialized Julia objects. For more information on reproducibility, see the GH repository.
code repository: https://data.4tu.nl/v3/datasets/19fb0622-57e8-4087-8988-17891753553d.git
author: https://orcid.org/0000-0003-4726-8613
author: Person
  given name: C.C.S. (Cynthia)
  family name: Liem
  name: C.C.S. (Cynthia) Liem
author: Person
  given name: Arie
  family name: Van Deursen
  name: Arie Van Deursen
keywords: Humanities & Computational Social Science
keywords: Transparent, Interpretable, Explainable ML
keywords: Classification and Regression
keywords: Deep Generative Models & Autoencoders
programming language: JSON
programming language: JavaScript
programming language: Julia
programming language: Markdown
programming language: Other
programming language: Shell
programming language: TeX
programming language: YAML
programming language: large-text-file
license:
  creative work: creativeWork
    name: MIT
reference publication: aaai.v38i10.28956

https://orcid.org/0000-0003-4726-8613
type: Person
given name: Patrick
family name: Altmeyer
name: Patrick Altmeyer

aaai.v38i10.28956
type: ScholarlyArticle
name: Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
pagination: 10829-10837
url: https://doi.org/10.1609%2Faaai.v38i10.28956