Counterfactual Robustness: A Framework to Analyze the Robustness of Causal Generative Models Across Interventions

Cite

Text

Benhamza et al. "Counterfactual Robustness: A Framework to Analyze the Robustness of Causal Generative Models Across Interventions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025. doi:10.1007/978-3-032-05962-8_23

Markdown

[Benhamza et al. "Counterfactual Robustness: A Framework to Analyze the Robustness of Causal Generative Models Across Interventions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025.](https://mlanthology.org/ecmlpkdd/2025/benhamza2025ecmlpkdd-counterfactual/) doi:10.1007/978-3-032-05962-8_23

BibTeX

@inproceedings{benhamza2025ecmlpkdd-counterfactual,
  title     = {{Counterfactual Robustness: A Framework to Analyze the Robustness of Causal Generative Models Across Interventions}},
  author    = {Benhamza, Manal and Clausel, Marianne and Tami, Myriam},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2025},
  pages     = {391-408},
  doi       = {10.1007/978-3-032-05962-8_23},
  url       = {https://mlanthology.org/ecmlpkdd/2025/benhamza2025ecmlpkdd-counterfactual/}
}