Timo Freiesleben

Orcid: 0000-0003-1338-3293

According to our database1, Timo Freiesleben authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena.
Minds Mach., September, 2024

CountARFactuals - Generating Plausible Model-Agnostic Counterfactual Explanations with Adversarial Random Forests.
Proceedings of the Explainable Artificial Intelligence, 2024

2023
What does explainable AI explain?
PhD thesis, 2023

Artificial Neural Nets and the Representation of Human Concepts.
CoRR, 2023

Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.
Proceedings of the Explainable Artificial Intelligence, 2023

Dear XAI Community, We Need to Talk! - Fundamental Misconceptions in Current XAI Research.
Proceedings of the Explainable Artificial Intelligence, 2023

Improvement-Focused Causal Recourse (ICR).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples.
Minds Mach., 2022

2021
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.
CoRR, 2021

A Causal Perspective on Meaningful and Robust Algorithmic Recourse.
CoRR, 2021

Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT).
CoRR, 2021

2020
Counterfactual Explanations & Adversarial Examples - Common Grounds, Essential Differences, and Potential Transfers.
CoRR, 2020

Pitfalls to Avoid when Interpreting Machine Learning Models.
CoRR, 2020

General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.
Proceedings of the xxAI - Beyond Explainable AI, 2020


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