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fionaewald.bsky.social
PhD Student @ LMU Munich Munich Center for Machine Learning (MCML) Research in Interpretable ML / Explainable AI
7 posts 463 followers 154 following
Getting Started
Posts 6 Comments 3

Thank you so much @daiichisankyo.bsky.social for welcoming me in your office in Munich!

submitted 27 days ago • 0 comments

Feature importance measures can clarify or mislead. PFI, LOCO, and SAGE each answer a different question. Understand how to pick the right tool and avoid spurious conclusions: mcml.ai/news/2025-03... @fionaewald.bsky.social @ludwig-bothmann.bsky.social @giuseppe88.bsky.social @gunnark.bsky.social

submitted 40 days ago • 0 comments

The @munichcenterml.bsky.social recently shared our work: mcml.ai/news/2025-03... 🙏🏻 #mcml #ai #interpretability #iml #xAI #blockpost

submitted 85 days ago • 0 comments

Need an implementation of a conditional sampler, as required, e.g., in Conditional Feature Importance, for a project in R. Since I don't think it's efficient for everyone to implement their own, I'll ask around: Do you know a good implementation?

submitted 202 days ago • 1 comment

What makes AI research excellent? Who are the researchers behind MCML? And what drives us at MCML? Get to know us in our image film ⬇

submitted 206 days ago • 0 comments

Excited to be part of this platform! My research focuses on global model-agnostic feature importance. Please check our recent paper: "A Guide to Feature Importance Methods for Scientific Inference" (link.springer.com/chapter/10.1...).

submitted 209 days ago • 0 comments