🧠🔍 Can deep models be verifiably right for the right reasons? At ICML’s Actionable Interpretability Workshop, we present Neural Concept Verifier—bringing Prover–Verifier Games to concept space. 📅 Poster: Sat, July 19 📄 arxiv.org/abs/2507.07532 #ICML2025 #XAI #NeuroSymbolic

Can concept-based models handle complex, object-rich images? We think so! Meet Object-Centric Concept Bottlenecks (OCB) — adding object-awareness to interpretable AI. Led by David Steinmann w/ @toniwuest.bsky.social & @kerstingaiml.bsky.social . 📄 arxiv.org/abs/2505.244... #AI #XAI #NeSy #CBM #ML

Reasonable Artificial Intelligence und The Adaptive Mind: Die TU Darmstadt wird im Rahmen der Exzellenzstrategie des Bundes und der Länder mit gleich zwei geförderten Clusterprojekten ausgezeichnet. Ein Meilenstein für unsere Universität! www.tu-darmstadt.de/universitaet...

🚨 New #ICML2025 paper!
"Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?" We test Vision-Language Models on classic visual puzzles—and even simple concepts like “spiral direction” or “left vs. right” trip them up. Big gap to human reasoning remains. 📄 arxiv.org/pdf/2410.19546

Work together with my amazing co-authors @philosotim.bsky.social Lukas Helff @ingaibs.bsky.social @wolfstammer.bsky.social @devendradhami.bsky.social @c-rothkopf.bsky.social @kerstingaiml.bsky.social ! ✨

🔥Our work “Where is the Truth? The Risk of Getting Confounded in a Continual World" was accepted with a spotlight poster at ICML! arxiv.org/abs/2402.06434 -> we introduce continual confounding + the ConCon dataset, where confounders over time render continual knowledge accumulation insufficient ⬇️

I am happy to share that my dissertation is now officially available online! Feel free to take a look :) tuprints.ulb.tu-darmstadt.de/29712/

2018: Saliency maps give plausible interpretations of random weights, triggering skepticism and catalyzing the mechinterp cultural movement, which now advocates for SAEs. 2025: SAEs give plausible interpretations of random weights, triggering skepticism and ...

We all know backpropagation can calculate gradients, but it can do much more than that! Come to my #AAAI2025 oral tomorrow (11:45, Room 119B) to learn more.

Happy to share that I successfully defended my PhD on Feb 19th with distinction! My work on "The Value of Symbolic Concepts for AI Explanations and Interactions" has been a rewarding journey. Huge thanks to my mentors, peers, and committee for their support! Excited for what’s next! 🚀