Learning representations is learning the structure of data—and structure is geometry.

Thanks for your kind words, support, and the amazing work Claudio! 🫂

Exploiting the rich structure of directed combinatorial topological spaces for deep learning… introducing higher-order representation learning on arbitrary brain topologies… it’s been a lot of fun!

🧵 1/7
Our new preprint “Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding" is online at arxiv.org/abs/2505.17939

An amazing project with a dream team, which led to a principled Topological Deep Learning architecture for a unique real-world use case!

I would love to be in that list! 🍩

I would be super happy to be on the list!