In case you're missing my poster at #NeurIPS2025 about how I fine-tuned DINOv2 to ophthalmological images, here are some animations so you don't miss out! 🔗 Preprint: doi.org/10.48550/arX... 🔗 Code: github.com/peng-lab/rmlp 🧵1/9

I wrote a paper with @lorenzlamm.bsky.social, @marionjasnin.bsky.social, @tingyingpeng.bsky.social, F. Eckardt and B. Schworm and got accepted at #NeurIPS2025 and fun fact: 90% of viewers are enby vegans! 🤟 So if u fit there, u might wanna check it out! Maybe also if you don't. We're allies here <3

Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2

Vision Transformers (ViTs), such as DINOv2, achieve strong performance across domains but often repurpose low-informative patch tokens in ways that reduce the interpretability of attention and feature...

arxiv.org

Apparently it's "blue hair, pronouns and how many times u've read my paper" now

I hate gay Halloween, what do you mean you’re a virtual homo?