Sebastian Lobentanzer
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
AI×1
Frequent co-authors
Research Timeline
2026
Croissant Tasks: A Metadata Format for Reproducible Machine Learning Evaluations
The paper introduces Croissant Tasks, a declarative metadata format designed to achieve conceptual reproducibility in machine learning by abstracting problem specifications from brittle implementation details.
Highlighted terms show continued research focus across papers