#Girls’Day2026: On April 23, 2026, the #MCML, together with Deep Tech Collective and CreAITech , invites girls aged 14–16 to an interactive Girls’ Day at the Hochschule für Philosophie München. 💡 Find out more: www.girls-day.de/.oO/Show/mun...

Great news 🚀 www.linkedin.com/posts/tailor...

Great experience presenting my work in progress on #RashomonSets for #interpretability and #performance analysis at MCML Munich AI Day last week! A fantastic chance to connect, learn, and share ideas - big thanks to the @munichcenterml.bsky.social for organizing. #AI #MachineLearning #IML #xAI

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

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

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

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?

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 ⬇

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...).