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Timo Freiesleben

CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests

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Apr 04, 2024
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Artificial Neural Nets and the Representation of Human Concepts

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Dec 08, 2023
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Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research

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Jun 07, 2023
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Improvement-Focused Causal Recourse (ICR)

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Oct 27, 2022
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Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena

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Jun 11, 2022
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Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process

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Sep 03, 2021
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A Causal Perspective on Meaningful and Robust Algorithmic Recourse

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Jul 16, 2021
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Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT)

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Jun 15, 2021
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Counterfactual Explanations & Adversarial Examples -- Common Grounds, Essential Differences, and Potential Transfers

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Sep 11, 2020
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Pitfalls to Avoid when Interpreting Machine Learning Models

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Jul 08, 2020
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