Lukas Klein

According to our database, Lukas Klein authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.

Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady

CoRR, 2024

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.

Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jäger

CoRR, 2024

Enhancing predictive imaging biomarker discovery through treatment effect analysis.

Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein

CoRR, 2024

2023

Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification.

Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger

CoRR, 2023

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

Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Lukas Klein, Mennatallah El-Assady, Paul F. Jäger

CoRR, 2022

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings.

Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022