Learning representations is learning the structure of dataβand structure is geometry.
Learning representations is learning the structure of dataβand structure is geometry.
Thanks for your kind words, support, and the amazing work Claudio! π«
Exploiting the rich structure of directed combinatorial topological spaces for deep learningβ¦ introducing higher-order representation learning on arbitrary brain topologiesβ¦ itβs been a lot of fun!
π§΅ 1/7
Our new preprint βDirected 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! π©
I would be super happy to be on the list!