Timo Freiesleben
Scholar

Timo Freiesleben

Google Scholar ID: BUvMXaAAAAAJ
Postdoc, University of Tübingen, Cluster "Machine Learning for Science"
Interpretable Machine LearningCausalityPhilosophy of AIPhilosophy of ScienceAlgorithmic Fairness
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Citations & Impact
All-time
Citations
905
 
H-index
8
 
i10-index
8
 
Publications
14
 
Co-authors
0
 
Contact
CVOpen ↗
Publications
3 items
Establishing Construct Validity in LLM Capability Benchmarks Requires Nomological Networks
2026
Cited
0
The Benchmarking Epistemology: Construct Validity for Evaluating Machine Learning Models
2025
Cited
0
Performative Validity of Recourse Explanations
2025
Cited
0
Resume (English only)
Co-authors
0 total
Co-authors: 0 (list not available)