🔗 cbattiloro.com
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!
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!
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!
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!
for making this work possible!
🏠 @geometric-intel.bsky.social @ucsb.bsky.social
for making this work possible!
🏠 @geometric-intel.bsky.social @ucsb.bsky.social
⚙️ Thanks to its implementation in TopoBench, defining and training these models only requires a few lines of code.
⚙️ Thanks to its implementation in TopoBench, defining and training these models only requires a few lines of code.
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/
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/
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.
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.
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 😇)
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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
🔓 In this gloomy picture, it is crucial to dismantling the "Migration-Security Equation".
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🔓 In this gloomy picture, it is crucial to dismantling the "Migration-Security Equation".
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1. 💻 Code at github.com/NSAPH-Proje...
⏩ You will be surprised how easy it is to implement an ETNN!
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1. 💻 Code at github.com/NSAPH-Proje...
⏩ You will be surprised how easy it is to implement an ETNN!
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