262 citations · 358 across the 27 of their papers we have counts for
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cs.CV2023★ 2 cited
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady +3
Explainable AI aims to render model behavior understandable by humans, which can be seen as an intermediate step in extracting causal relations from correlative patterns. Due to th…
cs.CV2022★ 1 cited
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process
Lukas Klein, Mennatallah El-Assady, Paul F. Jäger
Explainable AI (XAI) is a necessity in safety-critical systems such as in clinical diagnostics due to a high risk for fatal decisions. Currently, however, XAI resembles a loose col…