🧵 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!

🧵 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!

Thank you Guillermo Bernárdez, @clabat9.bsky.social @ninamiolane.bsky.social for making this work possible! 🏠 @geometric-intel.bsky.social @ucsb.bsky.social

🍩TopoTune takes any neural network as input and builds the most general TDL model to date, complete with permutation equivariance and unparalleled expressivity. ⚙️ Thanks to its implementation in TopoBench, defining and training these models only requires a few lines of code.

TopoTune is going to ICML 2025!🎉🇨🇦 Curious to try topological deep learning with your custom GNN or your specific dataset? We built this for you! Find out how to get started at geometric-intelligence.github.io/topotune/

📢📢📢"The Relativity of Causal Knowledge" THANK YOU to @clabat9.bsky.social for working side by side with me on this exciting project and making this article possible. Big thanks also to @hansmriess.bsky.social and Fabio Massimo Zennaro for their valuable feedback on an earlier version of the paper.

📜“The Relativity of Causal Knowledge” arxiv.org/abs/2503.11718 Bluntly, this was the funniest paper I ever worked on. A thank you to @officiallydac, who was amazing at making our vision a technically sound reality. (Spoiler: more categories and sheaves for you 😇) 🧵 1/9

We live in a world where the right to life is attacked by the most diverse means, be it the fumes of a coltan mine, a dark alley, or the denial of peoples' self-determination. 🔓 In this gloomy picture, it is crucial to dismantling the "Migration-Security Equation". 🧵 1/10

E(n) Equivariant Topological Neural Networks are going to #ICLR2025! See you in Singapore! 1.⁠ ⁠💻 Code at github.com/NSAPH-Proje... ⏩ You will be surprised how easy it is to implement an ETNN! 🧵 1/n