IJCAI24-CF_Tut

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IJCAI-24 Tutorial on Counterfactual Explanations: https://sites.google.com/view/tut-counterfactuals-ijcai24/

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## All You Ever Need to Know About Counterfactual Explanations -- Fundamentals, Methods, & User Studies for XAI

[Homepage](https://sites.google.com/view/tut-counterfactuals-ijcai24/)

[Slides](https://github.com/andreArtelt/IJCAI24-CF_Tut/tree/main/IJCAI24-CF_Tut_slides)

### Hands-On Sessions

This tutorial features two hands-on sessions: 1) A session on computing counterfactual explanations in Python 2) A session on evaluating a user-study.

#### Computing Counterfactuals in Python

[Jupyter notebook](0-cf_in_python.ipynb) <a target="_blank" href="https://colab.research.google.com/github/andreArtelt/IJCAI24-CF_Tut/blob/main/0-cf_in_python.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>

#### USer-Study Evaluation

[Jupyter notebook](CESORP_study_evaluation.ipynb) <a target="_blank" href="https://colab.research.google.com/github/andreArtelt/IJCAI24-CF_Tut/blob/main/CESORP_study_evaluation.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>

### How to cite

If you are using / referring to these materials in your own work, please cite

Artelt, A., Keane, M.T., Kuhl, U. (2024). All You Ever Need to Know About Counterfactual Explanations (Tutorial).
*33nd International Joint Conference on Artificial Intelligence (IJCAI-24)*, Jeju, South Korea (August).

IJCAI24-CF_Tut

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