Lukas Klein

From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process

Paul F. Jager, Mennatallah El-Assady, Lukas Klein, 2022, ArXiv.

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification

Paul F. Jaeger, Carsten Lüth, Lukas Klein, 2022, ArXiv.

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification

Lukas Klein, Till J. Bungert, Carsten T. Lüth, 2022, ICLR.

Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification

Lukas Klein, Till J. Bungert, Carsten T. Lüth, 2023, ArXiv.

Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment

Lukas Klein, Till J. Bungert, P. Jaeger, 2023, NeurIPS.

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings

Paul F. Jäger, J. Buhmann, Mennatallah El-Assady, 2023, MIDL.

Enhancing predictive imaging biomarker discovery through treatment effect analysis

Philipp Vollmuth, Lukas Klein, P. Jaeger, 2024, ArXiv.