Lukas Klein

According to our database1, Lukas Klein authored at least 8 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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1
2
3
4
2
1
1
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2
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.
CoRR, 2024

Enhancing predictive imaging biomarker discovery through treatment effect analysis.
CoRR, 2024

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification.
CoRR, 2023

Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process.
CoRR, 2022

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022


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