On Dec 2, I’ll present our Nature Communications paper “On convex decision regions in deep network representations” at the #ELLIS UnConference co-located with #EurIPS. We show that human & machine learning may share the same geometry — convexity. 👉 eurips.cc/ellis @ellis.eu @euripsconf.bsky.social

Large Vision Models Can Solve Mental Rotation Problems Sebastian Ray Mason, Anders Gjølbye, Phillip Chavarria Højbjerg, Lenka Tětková, Lars Kai Hansen tl;dr: DINOv3,CLIP know 3D geometry, but only in middle layers. MAE bad, ImageNet bad, cls token bad. arxiv.org/abs/2509.15271

New work on how human brains and AI systems organize knowledge is out in Nature Communications www.nature.com/articles/s41... Great work, @lenkatetkova.bsky.social and team!

🧠 New paper alert! Our study in Nature Communications shows that both human & machine learning may rely on the same geometry: convexity. It could be a key to shared concept formation. 👉 www.nature.com/articles/s41... #AI #CognitiveScience #Explainability

🎥 The recording of the 2nd ELLISxUniReps Speaker Series session with @mtoneva.bsky.social and @lenkatetkova.bsky.social is now available at: youtu.be/qXBT_-w3Mfs

🎉 Get ready for our second @ellis.eu × UniReps Speaker Series session! 🔥 🗓️ When: June 20, 2025 – 16:00 CET 📍 Where: ethz.zoom.us/j/66426188160 🎙️ Speakers: Keynote by @mtoneva.bsky.social & Flash Talk by @lenkatetkova.bsky.social 👉 Join our Google group: groups.google.com/u/2/g/ellis-...

We are thrilled to welcome an incredible lineup of invited speakers to the 4th Explainable AI for Computer Vision (XAI4CV) Workshop, held as part of #CVPR2025 — which kicks off next week, from Wednesday, June 11th to Sunday, June 15th in Nashville, TN!