Gunnar König

@gunnark.bsky.social

PostDoc @ Uni Tübingen explainable AI, causality gunnarkoenig.com

At #NeurIPS in San Diego this week? Interested in XAI, causality, or performative prediction? Come visit our poster! 💬 Performative Validity of Recourse Explanations 📆 Wednesday, 4.30 pm, Poster Session 2 w/ Hidde Fokkema, Timo Freiesleben, Celestine Mendler-Dünner, Ulrike von Luxburg

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How can we make AI explanations provably correct — not just convincing? 🤔 Join us for the Theory of Explainable Machine Learning Workshop, part of the ELLIS UnConference Copenhagen 🇩🇰 on Dec 2, co-located with #EurIPS. 🕒 Call for contributions open until Oct 15 (AoE) 🔗 eurips.cc/ellis

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In many XAI applications, it is crucial to determine whether features contribute individually or only when combined. However, existing methods fail to reveal cooperations since they entangle individual contributions with those made via interactions and dependencies. We show how to disentangle them!

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